Jobs Private USA → Technology → Data, analytics and AI → Staff Data Engineer - Slack

Staff Data Engineer - Slack

Salesforce · New York, NY · posted 8 days ago

In short: Staff Data Engineer - Slack at Salesforce in New York, NY, posted 8 days ago.

By AtiveSite · Published 07/11/2026 · Updated 08/11/2026 · Every figure is linked to its source below.

Salesforceemployer

New York, NYlocation

Data, analytics and AIsub-niche

8 days agoposted

🆕 Work guides: live jobs + official data, law, permits, pay and cost of living. United States · New York · Kings County · New York · all 120 cities + map → · all 62 counties → · New York rankings · all 51 states → · 200 largest companies · 240 best job niches · Federal jobs in New York

The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-10-31

Employer	Salesforce
Location	New York, New York
Field	Technology › Data, analytics and AI
Level	Senior Level
Source category	Data and Analytics
Posted	2026-10-31 (8 days ago)
Work arrangement	On-site at the location listed
Pay	Not published in the source listing

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category
Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Experience

The Metrics Foundations team sits within Slack's Data Engineering organization in Data & Insights, building the trusted datasets and metrics that power decisions across Product, Analytics, Marketing, Sales, and Operations. The team partners with Product, Data Science, Analytics, and Engineering to define and govern metrics with consistent quality and clear service level agreements (SLAs).

Increasingly, AI agents and developer tools consume these metrics alongside people, so you build the trusted, machine-readable foundation that maps business questions to the right metric definitions and tables. As a Staff Data Engineer, you set the technical direction for how Slack defines, computes, governs, and serves its most critical metrics, and you serve as the technical lead for Agentic Analytics on the metrics side.

This is a senior individual contributor role with organization-wide scope and multi-quarter impact.

What You'll Actually Be Doing

Set the architecture and roadmap for the metrics platform, from ingestion and canonical datasets to the semantic layer and serving, making clear tradeoffs between freshness, accuracy, reliability, and cost.
Design and scale data models and pipelines that turn billions of records into trusted datasets with measurable quality, predictable SLAs, and freshness signals for consumers.
Evolve the semantic layer and build the APIs and tools that let people and AI agents navigate metric definitions, lineage, and ownership, and draft accurate queries.
Lead metric certification, governance, and design reviews, and mentor senior engineers, using AI-assisted development to deliver faster without compromising quality.

You're Our Person If...

You have 10+ years of software or data engineering experience, including 6+ years hands-on with data architecture, data modeling, and metadata management.
You have led complex, multi-team technical initiatives as an individual contributor and drive alignment across Engineering, Product, Data Science, and Analytics without formal authority.
You have deep SQL expertise, strong Python skills, and working proficiency in Go, Java, or Scala, with a record of architecting scalable, cost-efficient data models and pipelines.
You have hands-on experience with Spark, Trino, Airflow, Iceberg, and Snowflake, and with dimensional and star/snowflake modeling.
A related technical degree required.

Even Better If...

You have experience building infrastructure or tools for AI agents, such as Model Context Protocol (MCP) servers, tool-use APIs, or evaluation harnesses.
You have experience with semantic layers, metrics platforms, data catalogs, or lineage tools such as dbt, sqlmesh, Datahub, Cube, or LookML.
You have experience with experimentation platforms, including metrics, exposure logging, and guardrails for A/B testing.
You prototype early, balance speed with judgment, and measure your impact by what the teams around you ship.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $197,300 - $313,700 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,700 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Salesforce Jobs in New York Jobs in New York, NY New York city guide New York state guide Kings County economy

View this job and apply on The Muse →

You apply on The Muse or on the employer's page; AtiveSite does not receive or process applications and is not affiliated with The Muse. The description above is shown as the source published it.

About the role

This is a Senior Level role in the Technology field (Data, analytics and AI) at Salesforce. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.

We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.

Does the pay work here? (estimate)

Gross salary a year Filing State income tax rate %

Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.

How to prepare and behave

This is editorial guidance, not information from the employer.

Read the whole description and match your examples to its requirements; use the same words the posting uses where they are true for you.
Research the employer before the interview: what it does, who its customers are and recent news; prepare two or three questions about the work.
Arrive early (or log in early for a video call), dress one step above the daily dress code, and test your camera and audio beforehand.
Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
Be honest about gaps; say what you did to learn and how fast you can close them.
Ask about the team, the first 90 days, how success is measured and the schedule; do not open with salary and time off.
When pay comes up, know the market range for the occupation and your lowest acceptable offer before you answer; ask for the full package in writing.
Send a short thank-you message within a day, mentioning one thing you discussed.
Have code, data work or projects you can show, and be ready to think aloud: many technical interviews test how you reason, not only the answer.

Know your rights as a candidate and an employee:

The city

The job is in New York, NY. Below is what the official statistics say about living and working there.

How New York compares. Among the 120 largest places in New York, New York is #1 by population, #117 for homeownership (#1 = highest), #115 for long commutes (#1 = fewest), #31 for remote work (#1 = most). Its county, Kings County, is #38 of 62 counties for average pay ($59,980).

The place in numbers

New York has 8,483,844 residents (ACS 2020–2024), about 42.7% of the population of New York. It covers 300 square miles of land, which works out to roughly 28,236 people per square mile. The median age is 38.2, 4% younger than the state median (38.2 against 39.8).

Housing

The median gross rent is $1,821 a month (rent plus utilities), 12% above the state median ($1,821 against $1,621). Over a year that is 27.2% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $777,600, which is 9.7 times the median household income ($80,483); a ratio above 5 usually means buying is out of reach without savings or a second income. 32.8% of households own their home, 40% below the state average (32.8% against 54.4%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.

Work and pay

The New York-Newark-Jersey City, NY-NJ metropolitan area has 9,492,000 jobs in the BLS wage survey, and the median pay across all occupations is $61,430 a year, 20% above the national median ($61,430 against $50,980). The biggest occupation groups are office and administrative support (1,109,360 jobs, median $55,080); healthcare support (843,730 jobs, median $40,100); sales and related (751,110 jobs, median $47,540). The area is most specialised in healthcare support (1.8 times) and legal (1.7 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($171,990) and legal ($150,990). In 2026M09 the unemployment rate of Kings County was 5.3%. 63.1% of residents aged 16 and over are in the labour force. The city lies in Kings County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 21.6% drive alone, 44.0% use public transit, 9.2% walk, 16.9% work from home. 41.2% of workers commute 45 minutes or more, 50% above the state average (41.2% against 27.4%).

People and education

41.6% of adults aged 25 and over hold a bachelor's degree or higher, 4% above the state share (41.6% against 40.2%). 36.6% of residents were born outside the United States, 61% above the state share (36.6% against 22.8%). The poverty rate is 17.9%, 28% above the state rate (17.9% against 14.0%).

Climate

The warmest month is Jul, averaging 75°F (23.7°C), and the coolest is Jan at 34°F (1.1°C). About 1,313 mm (52 inches) of precipitation falls in a year; Dec is the wettest month (133 mm) and Feb the driest (95 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: Hoboken (7 miles, rent 61% higher); Jersey City (7 miles, rent 10% higher); Union City (9 miles, rent 16% lower); Bayonne (9 miles, rent 8% lower). Rent differences are against New York; use the Compare tab to put any two cities side by side.

Full guide to New York →New York guide All jobs in New York

Official links for New York

These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

Where to live

CITY Official statistics Source: U.S. Census Bureau, American Community Survey 2020–2024 5-year (via Census Reporter) · Data: ACS 2020–2024

Places within 50 miles (straight line) of New York, NY that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.

Sort:

Place ⇅	Distance from the job city ⇅	Median rent ⇅	Median home value ⇅	Median household income ⇅	Commute 45+ min ⇅	Rent as % of occupation pay ⇅	Open jobs there ⇅
New York, NY	0 mi	$1,821	$777,600	$80,483	41.2%	n/a	Jobs
Hoboken, NJ	7 mi	$2,938	$895,100	$180,579	38.7%	n/a	—
Jersey City, NJ	7 mi	$2,007	$566,900	$97,710	36.0%	n/a	Jobs
Union City, NJ	9 mi	$1,537	$471,600	$64,310	27.9%	n/a	—
Bayonne, NJ	9 mi	$1,682	$460,100	$83,887	31.0%	n/a	—
West New York, NJ	9 mi	$1,716	$465,600	$71,729	30.6%	n/a	—
Secaucus, NJ	11 mi	$2,391	$571,900	$139,821	33.9%	n/a	Jobs
Cliffside Park, NJ	11 mi	$1,837	$588,200	$93,452	33.1%	n/a	—
Edgewater, NJ	11 mi	$2,579	$715,700	$124,050	43.6%	n/a	—
Fairview, NJ	11 mi	$1,694	$511,400	$63,606	25.4%	n/a	—
Kearny, NJ	11 mi	$1,720	$459,400	$79,154	26.6%	n/a	—
Woodmere, NY	12 mi	$2,720	$975,400	$172,537	45.7%	n/a	—
North Valley Stream, NY	12 mi	$3,059	$613,800	$142,733	36.1%	n/a	—
Valley Stream, NY	12 mi	$2,124	$616,100	$133,190	34.5%	n/a	—
Elmont, NY	12 mi	$2,209	$602,900	$114,217	35.9%	n/a	—
Harrison, NJ	13 mi	$2,226	$505,800	$93,013	42.0%	n/a	—
Newark, NJ	13 mi	$1,392	$373,700	$52,060	25.1%	n/a	Jobs
North Arlington, NJ	13 mi	$1,738	$474,500	$94,201	29.5%	n/a	—
Floral Park, NY	13 mi	$2,243	$789,600	$150,084	32.3%	n/a	—
Fort Lee, NJ	13 mi	$2,270	$448,000	$107,274	34.3%	n/a	—

Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (366) Software engineering (1880) Cloud, IT and infrastructure (504) Product management (412)

Distances

CITY Calculation (straight line) Source: U.S. Census Bureau Gazetteer (coordinates) · Data: 2024

How far New York, NY is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.

Sort:

From ⇅	Straight-line distance (miles) ⇅	Population of that city ⇅
New York, NY	0 mi	8,483,844
Philadelphia, PA	77 mi	1,579,706
Columbus, OH	479 mi	914,802
Charlotte, NC	532 mi	903,844
Indianapolis, IN	646 mi	885,860
Chicago, IL	718 mi	2,711,226
Jacksonville, FL	834 mi	977,670
Oklahoma City, OK	1,327 mi	697,125
Dallas, TX	1,371 mi	1,307,930
Fort Worth, TX	1,401 mi	963,194
Houston, TX	1,419 mi	2,328,253
Austin, TX	1,512 mi	979,539
San Antonio, TX	1,583 mi	1,479,835
Denver, CO	1,625 mi	718,877
Phoenix, AZ	2,141 mi	1,642,323
Seattle, WA	2,407 mi	754,195
San Diego, CA	2,427 mi	1,389,526
Los Angeles, CA	2,459 mi	3,857,263
San Jose, CA	2,550 mi	990,138
San Francisco, CA	2,602 mi	830,235

Nearby cities with open jobs (within 120 miles)

Sort:

City ⇅	Straight-line distance ⇅	Open jobs ⇅
Brooklyn, NY	1 mi	1
Jersey City, NJ	7 mi	108
Manhattan, NY	8 mi	3
Iselin, NJ	21 mi	2
Mahwah, NJ	31 mi	2
Deer Park, NY	33 mi	17
Darien, CT	38 mi	11
Lakewood, NJ	42 mi	2
Marlton, NJ	74 mi	13
Bethlehem, PA	75 mi	3
Fort Washington, PA	75 mi	2
Philadelphia, PA	77 mi	165
Atlantic City, NJ	93 mi	5
Wilmington, DE	106 mi	2
Newark, DE	118 mi	8

The employer

Salesforce is the employer in this listing. See all its open jobs here →

We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

Other open jobs at Salesforce

Senior Director, Technical Product Management - AI Quality & Evaluation

Salesforce · Seattle, WA · Senior Level · Data, analytics and AI · posted yesterday

Summer 2027 Intern - Product Management

Salesforce · New York, NY · Internship · Executive and general management · posted yesterday

Senior Product Manager, Emerging Technology

Salesforce · Indianapolis, IN · Senior Level · Product management · posted yesterday

AI Product Associate Analyst, Early Talent

Salesforce · Chicago, IL · Entry Level · Data, analytics and AI · posted yesterday

Workplace Research Manager

Salesforce · Atlanta, GA · Mid Level · Executive and general management · posted yesterday

Senior Manager, Competitive Intelligence PACE & Agentforce

Salesforce · Atlanta, GA · Senior Level · Executive and general management · posted yesterday

Workplace Research Manager

Salesforce · Atlanta, GA · Mid Level · Executive and general management · posted yesterday

Training and Communications Manager, Global Ethics & Integrity

Salesforce · Austin, TX · Senior Level · Communications and PR · posted yesterday

Similar jobs

Same sub-niche: Data, analytics and AI

Senior Data Scientist, Fraud

Oscar Health · New York, NY · Senior Level · Data, analytics and AI · posted yesterday

Senior Data Scientist, Lucie

Oscar Health · New York, NY · Senior Level · Data, analytics and AI · posted yesterday

Global EDiscovery Lead - Global Litigation

TikTok · New York, NY · Mid Level · Data, analytics and AI · posted yesterday

Web Optimization Analyst

Spectrum · New York, NY · Mid Level · Data, analytics and AI · posted yesterday

Data Analyst - Yield & Inventory Strategy

Spectrum · New York, NY · Mid Level · Data, analytics and AI · posted yesterday

Head of Data Science, Intelligence Ventures

Spectrum · New York, NY · Senior Level · Data, analytics and AI · posted yesterday

Data Scientist

Spectrum · New York, NY · Senior Level · Data, analytics and AI · posted yesterday

Analytics Specialist, Associate, Portfolio Analytics Group (PAG)

BlackRock · New York, NY · Mid Level · Data, analytics and AI · posted yesterday

More jobs in New York, NY

Senior Manager, Office of the President

Oscar Health · New York, NY · Senior Level · Executive and general management · posted yesterday

Senior Data Scientist, Fraud

Oscar Health · New York, NY · Senior Level · Data, analytics and AI · posted yesterday

Senior Data Scientist, Lucie

Oscar Health · New York, NY · Senior Level · Data, analytics and AI · posted yesterday

Regulatory Counsel

Uber · New York, NY · Senior Level · Legal and compliance · posted yesterday

Sr. Manager, Global Ads Enablement

Uber · New York, NY · Senior Level · Executive and general management · posted yesterday

Sr Strategic Operations Manager, Consumer

Uber · New York, NY · Senior Level · Business operations and strategy · posted yesterday

All Data, analytics and AI jobs → · All Technology sub-niches →

FAQ

What is the Staff Data Engineer - Slack job at Salesforce?

A senior level role in technology (data, analytics and ai) listed 8 days ago. The full description is on this page and on The Muse.

Where is this job?

New York, NY.

How do I apply?

Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

Median rent in New York is $1,821 a month and median household income $80,483 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-10-31 (8 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in New York.

Sources and terms

Job data: The Muse public API (listing dated 2026-10-31). The job disappears from this site when it disappears from the source.
Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

AtiveSite is not affiliated with or endorsed by The Muse, the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

Jobs in other countries

🇺🇸 United States 🇩🇪 Germany 🇸🇪 Sweden 🇸🇬 Singapore