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Senior Data Engineer

US Fully Remote · NYC Hybrid Available · United States

Open 5 months, first seen by us 156 days ago
Pay
Multiple pay statements — pay source
Compensation and perks Expected annual compensation range: $176,000-198,000 USD Base salary $160,000-180,000 USD
Expected annual compensation range: $176,000-198,000 USD Base salary $160,000-180,000 USD Up to 10% annual bonus based entirely on individual performance
Read the full posting
Work setting
Remote — work setting source
Location type: Remote
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Engineering — team source
Department: Engineering
From the employer’s posting

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you require sponsorship to work in the US?
From the employer’s application form

What you’ll work on

Full posting

As a Senior Data Engineer on our Engineering team with a focus on data development, you will be working with a team of talented developers responsible for helping create and maintain the data platform, infrastructure, and processes that power the internal and external facing business intelligence that drives Beam’s mission.

We’re a highly collaborative team motivated by impact and our high growth environment.

  • Design new platform data solutions using RFC and Tech Spec documents

  • Build and fix features on the data platform and reporting tools

  • Take specs through the SDLC to delivered software

  • Develop expertise in the data ecosystem by supporting Client Strategy and Business Operations

  • Share knowledge through code reviews, pair programming and team training

From the employer’s posting
As a Senior Data Engineer on our Engineering team with a focus on data development, you will be working with a team of talented developers responsible for helping create and maintain the data platform, infrastructure, and processes that power the internal and external facing business intelligence that drives Beam’s mission. Our data platform processes more than 7TB of data every 90 minutes, delivering complex analytics to our partners and actionable data to our internal stakeholders. You will have the opportunity to work with a wide range of open source data technologies, building new features, supporting existing functionality through bug fixing and enhancements, and will have a significant impact on a core part of our business.
We’re a highly collaborative team motivated by impact and our high growth environment. This is an opportunity for someone excited to have a high level of impact on Beam’s continued success.
Design and plan new platform data solutions through collaboration with our Head of Engineering
building new features, supporting existing functionality through bug fixing and enhancements
Drive the execution of your work from spec document to delivery through our SDLC
Develop subject matter expertise in the Beam data ecosystem and our reporting platform through code development, directly supporting our Client Strategy team, Business Operations, and our partners
sharing knowledge through code reviews, pair programming, 1-1 conversations, and broader team trainings
Education & alternatives
- Experience with managing a Kubernetes cluster - Bachelor’s degree in Computer Science or related technical or analytical field (or equivalent training, fellowship, or work experience) Compensation and perks
Apply at Beam Impact

Posting record

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Open 5 monthsWe first saw this posting 156 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 2, 2026156 days ago
Recorded sightings
73
Last seen by us
Nov 5, 2026
Employer says posted
Feb 12, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 156

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 11,071 similar postings that came down. Coming down is not always a hire.

Beam Impact is hiring

1 open job

  • No new data jobs since June
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Kubernetes
  • PostgreSQL
  • S3
  • Snowflake
  • Spark
  • Tableau
  • Airflow
  • PySpark
Where the posting names them
- Testing automation via pytest - uv as our Python package manager - Snowflake as our data warehouse
What we’re looking for - 4+ years as a Data Engineer or Senior Data Engineer utilizing Python and SQL to develop data intensive applications or insights, or 5+ years of experience as a Software Engineer using Python and SQL, working in a primarily Python codebase - Experience working on production-level data systems in a collaborative team environment
- Experience working on production-level data systems in a collaborative team environment - Proficient with Python and SQL - Proficient with relational databases, particularly PostgreSQL
- Apache Spark running pyspark - Kubernetes running on EKS; managed using k9s, Helm and eksctl - Apache Airflow as our workflow orchestrator
- Experience with Apache Spark - Experience with managing a Kubernetes cluster - Bachelor’s degree in Computer Science or related technical or analytical field (or equivalent training, fellowship, or work experience)
- Proficient with Python and SQL - Proficient with relational databases, particularly PostgreSQL - Experience with Apache Airflow for task orchestration
- Snowflake as our data warehouse - S3 as our distributed object storage / data lake What you’ll do
- uv as our Python package manager - Snowflake as our data warehouse - S3 as our distributed object storage / data lake
Our Data tech stack - Apache Spark running pyspark - Kubernetes running on EKS; managed using k9s, Helm and eksctl
- Experience with setting up and administrating a Business Intelligence tool, like Tableau - Experience with Apache Spark - Experience with managing a Kubernetes cluster
- Experience with Apache Airflow for task orchestration - Experience using a Business Intelligence tool, like Tableau - Familiar with fundamental development principles and processes such as observability, performance optimization, continuous integration, automated testing, and cloud infrastructure
- Experience in an early startup - Experience with setting up and administrating a Business Intelligence tool, like Tableau - Experience with Apache Spark
- Kubernetes running on EKS; managed using k9s, Helm and eksctl - Apache Airflow as our workflow orchestrator - Testing automation via pytest
- Proficient with relational databases, particularly PostgreSQL - Experience with Apache Airflow for task orchestration - Experience using a Business Intelligence tool, like Tableau

Your next step

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Are you looking to join a highly motivated team working for social impact? At Beam we’re on a mission to shift $10 Billion to high-impact nonprofits.

About the role

As a Senior Data Engineer on our Engineering team with a focus on data development, you will be working with a team of talented developers responsible for helping create and maintain the data platform, infrastructure, and processes that power the internal and external facing business intelligence that drives Beam’s mission. Our data platform processes more than 7TB of data every 90 minutes, delivering complex analytics to our partners and actionable data to our internal stakeholders. You will have the opportunity to work with a wide range of open source data technologies, building new features, supporting existing functionality through bug fixing and enhancements, and will have a significant impact on a core part of our business.

We’re a highly collaborative team motivated by impact and our high growth environment. This is an opportunity for someone excited to have a high level of impact on Beam’s continued success.

Our Data tech stack

  • Apache Spark running pyspark

  • Kubernetes running on EKS; managed using k9s, Helm and eksctl

  • Apache Airflow as our workflow orchestrator

  • Testing automation via pytest

  • uv as our Python package manager

  • Snowflake as our data warehouse

  • S3 as our distributed object storage / data lake

What you’ll do

  • Design and plan new platform data solutions through collaboration with our Head of Engineering, our Engineering and product teams, and internal stakeholders using RFC and Tech Spec documents

  • Collaborate with your peers to execute and implement high-quality software

  • Collaborate with your peers to assist in planning and execution of new software features, bringing a focus on data platform requirements

  • Drive the execution of your work from spec document to delivery through our SDLC

  • Grow your skillset and be a force multiplier by sharing knowledge through code reviews, pair programming, 1-1 conversations, and broader team trainings

  • Develop subject matter expertise in the Beam data ecosystem and our reporting platform through code development, directly supporting our Client Strategy team, Business Operations, and our partners

  • Understand and strive to balance tech debt with practicality while designing solutions

  • Gain knowledge of the nonprofit giving and e-commerce enablement spaces

  • Foster a team culture around Beam’s values of community, inclusivity, care, accountability and support

  • Strive for continuous improvement through goal setting, feedback, and other growth opportunities

What we’re looking for

  • 4+ years as a Data Engineer or Senior Data Engineer utilizing Python and SQL to develop data intensive applications or insights, or 5+ years of experience as a Software Engineer using Python and SQL, working in a primarily Python codebase

  • Experience working on production-level data systems in a collaborative team environment

  • Proficient with Python and SQL

  • Proficient with relational databases, particularly PostgreSQL

  • Experience with Apache Airflow for task orchestration

  • Experience using a Business Intelligence tool, like Tableau

  • Familiar with fundamental development principles and processes such as observability, performance optimization, continuous integration, automated testing, and cloud infrastructure

  • Familiar with distributed computing architecture, data warehouse and data lake storage patterns

  • Strong communication skills with the ability to explain and advocate for technical projects to non-technical roles

Nice to haves

  • Experience in an early startup

  • Experience with setting up and administrating a Business Intelligence tool, like Tableau

  • Experience with Apache Spark

  • Experience with managing a Kubernetes cluster

  • Bachelor’s degree in Computer Science or related technical or analytical field (or equivalent training, fellowship, or work experience)

Compensation and perks

  • Expected annual compensation range: $176,000-198,000 USD

    • Base salary $160,000-180,000 USD

    • Up to 10% annual bonus based entirely on individual performance

  • Stock options

  • 50% match on 401k contributions of up to 6% of base salary

  • $100 monthly wellness stipend

  • $750 annual professional development budget

  • See a full list of perks at https://beamimpact.com/careers

Location - Remote

We are a remote-first company, so our team works from wherever they are. We also have office space in New York, currently in Hearst Tower, where you’re free to come work from as well. We have no plans to require in-office work.

Source details

View original posting ↗

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Pay
Compensation and perks Expected annual compensation range: $176,000-198,000 USD Base salary $160,000-180,000 USD
More source context
Expected annual compensation range: $176,000-198,000 USD Base salary $160,000-180,000 USD Up to 10% annual bonus based entirely on individual performance
Location & working pattern

United States

- See a full list of perks at https://beamimpact.com/careers Location - Remote We are a remote-first company, so our team works from wherever they are. We also have office space in New York, currently in Hearst Tower, where you’re free to come work from as well. We have no plans to require in-office work.
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