Data engineer jobs in the United States (4,779 jobs)

Find data engineer jobs across the United States. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 8, 2026

Hiring at a glance

View jobs

Open jobs: 4,779
Employers: 2,043

Advertised starting pay

Average starting payUSD / year: $126,786Across 864 listings
Average starting payUSD / hour: $62.25Across 524 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 12%565 listings
Hybrid: 6%306 listings
On-site: 8%378 listings

Not specified: 74% (3,530 listings)

Employers hiring include Eliassen Group (394), Booz Allen Hamilton_United States (73), Insight Global (66).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data engineer jobs in the United States

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Added 27 days ago
Data Engineer
Accenture Federal Services
Suitland, MD
Added 27 days ago
Data Engineer
Accenture Federal Services
Tampa, FL
Added 27 days ago
Data Engineer
Accenture Federal Services
Chantilly, VA
Added 27 days ago
Computer Vision Data Engineer
Accenture Federal Services
Tampa, FL
Added 27 days ago
Cleared Data Engineer
Accenture Federal Services
Washington, DC · Arlington, VA
Added 27 days ago
AA
Multimodal Data Engineer
Abaka AI
Mountain View, CA
- $120,000 to $225,000 USD / year
Abaka AI is built on one mission: to be the world’s most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on…
Added 27 days ago
Forward Deployed Data Engineer
Abacus Insights
Boston, MA
Abacus Insights is transforming how data and AI work for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act…
Added 27 days ago
Data Engineer
ABACUS
Remote, United States
The Data Engineer is responsible for developing, maintaining, and supporting data pipelines using Python and SQL Server (T-SQL), while assisting with data integration from internal and…
Added 27 days ago
Partner 16, Data Engineer - Global Partnerships
a16z
Menlo Park, CA · San Francisco, CA
Added 27 days ago
Onsite GEOMAP Data Engineer
Woolpert
San Antonio, TX
Woolpert is hiring a GEOMAP Data Engineer to join our dynamic Department of the
Added 27 days ago
Data Engineer
Hatch IT
Washington, DC
hatch I.T. is partnering with Expression to find a Data Engineer. See details below:
Added 27 days ago
WT
Senior Data Engineer
WatchGuard Technologies, Inc.
Miami, FL
- $140,000 to $150,000 USD / year
We are looking for a Senior Data Engineer to join our growing data platform team. You will own the design, build, and reliability of our cloud-native data lakehouse - from raw ingestion…
Added 27 days ago
M(
Senior Principal Data Engineer
MaintainX (An Autodesk Company)
San Francisco, CA
- $202,000 to $296,450 USD / year
Added 27 days ago
Principal Data Engineer
Tenna
Remote, United States
We’re seeking a Principal Data Engineer to own data architecture across our connected equipment platform. Reporting directly to the CTO, you’ll design the data systems and patterns that our…
Added 27 days ago
S
Data Engineer, Finance
Superhuman
San Francisco, CA · Seattle, WA
- $175,000 to $245,000 USD / year
Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs.
Added 27 days ago
S
Data Engineer, Foundations
Superhuman
San Francisco, CA · Seattle, WA
- $175,000 to $245,000 USD / year
Preferred locations for team members for our Data Platform roles are our San Francisco or Seattle hubs.
Added 27 days ago
Forward Deployed Data Engineer IV, Databricks
E Source
Remote, United States
…changing landscape, and we’re looking for a Forward Deployed Data Engineer IV to help shape how that impact shows up in the…
Added 27 days ago
Databricks Data Engineer
E Source
Remote, United States
E Source is seeking a Databricks Data Engineer to join the Machine Learning Engineering team. This role focuses on designing, building, and maintaining scalable, reliable, and secure data…
Added 27 days ago
Principal Data Engineer
Octus
Remote, United States
Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting,…
Added 27 days ago
M
Data Engineer, Accounting
MONTICELLOAM
NY
- $100,000 to $140,000 USD / year
We're looking for a Financial Accounting Operations Data Engineer to build and maintain the data and r
Added 27 days ago
Data Engineer - Talent Acquisition Operations
Palantir Technologies
NY
As a Data Engineer, you will help to build and maintain the data foundations, reporting workflows, and automations that support Recruiting and Hiring Operations. This role will work cross-
Added 27 days ago
S
Senior Data Engineer
Socure
Remote, United States
- $160,000 to $195,000 USD / year
Added 27 days ago
CG
Sr. Data Engineer
Contact Government Services, LLC
Albany, NY · NY
- $144,768 to $209,109.33 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 27 days ago
CG
Sr. Data Engineer
Contact Government Services, LLC
Los Angeles, CA · San Francisco, CA
- $144,768 to $209,109.33 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…
Added 27 days ago
CG
Data Engineer
Contact Government Services, LLC
Atlanta, GA · Charlotte, NC
- $112,597.33 to $152,810.66 USD / year
CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal…

Norfolk Southern Corp.

Lead Data Engineer (Databricks, Big Data)

Atlanta, GA, United States

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Applications open in a new tab.

Job details

Apply by: Dec 1, 2026
Posting language: English
Posted: Oct 16, 2026

Original job description

Requisition 40310: B5 Lead Data Engineer (Databricks, Big Data)

A resume helps you stand out to hiring managers and recruiters; your resume communicates your experience and your brand. While it is not required, we encourage you to include an up-to-date resume along with a completed job application to give you the best opportunity to be considered. A complete resume helps us to better understand your unique background, relevant experiences, and passions. We look forward to learning about you.

Norfolk Southern offers a unique opportunity to be part of our proud legacy that spans nearly 200 years. We are a customer-centric, operations-driven team dedicated to advancing safety, serving communities, and driving innovation for tomorrow's rail. As part of Norfolk Southern, you’ll join a collaborative team where there are opportunities for growth across the organization. We are building a culture where everyone can thrive by owning and driving exceptional results, being humble and leading with trust, serving our customers with excellence, and collaborating and coaching to win.

Job Description

Norfolk Southern Corporation is seeking a Lead Data Engineer who enjoys collaborating across the organization to deliver reliable, scalable data solutions. Join a skilled team focused on modern data platforms, where you will lead the definition of architecture, help shape and operate our Databricks-based lakehouse and streaming analytics capabilities, and guide the team through technical delivery.

This role blends strong business and analytical judgment with hands-on engineering and technical leadership: you will partner with stakeholders and the engineering team to understand problems, translate them into clear requirements, define and drive pragmatic architectures, and deliver production-grade ingestion and transformation pipelines - with ownership through deployment and steady-state operations. You will also work closely with the team to proactively identify and remove technical blockers that stand in the way of delivery.

In this role, you will work with teams across the company to clarify Data and Analytics needs, perform structured requirements discovery alongside Data Modelers, align with BI development on scope and estimates, and lead and guide delivery through completion while promoting engineering quality, consistency, and best practices across the team.

Job Responsibilities

Lead the definition of data architecture in partnership with the team and stakeholders, setting technical direction for the lakehouse, ingestion, and transformation patterns.
Identify, escalate, and remove technical blockers for the team - unblocking delivery through hands-on problem solving, design decisions, or coordination with other teams.
Lead the design and development of enterprise data models (conceptual, logical, and physical) across domains, ensuring they align with lakehouse and pipeline architecture.
Define and enforce data modeling standards, best practices, and governance processes, leveraging tools such as Erwin.
Define data requirements, gather, and wrangle large scale of structured and unstructured data, and validate data by running various data tools in the Data Environment.
Support the standardization, customization and ad-hoc data analysis, and will develop the mechanisms to ingest, analyze, validate, normalize and clean data.
Create data policy and develop interfaces and retention models which require synthesizing or anonymizing data.
Implement statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports Data Scientists and analytics and insights creation in data sourcing and preparation to visualize data and synthesize insights of commercial value.
Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques.
Lead Data Engineering team to use state-of-the-art Big Data tools and technologies to build scalable data architecture and performant data pipelines to acquire high-velocity real-time and batch data of different sizes and scales
Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning.
Build data pipelines that clean, transform, and aggregate data from disparate sources.
Employ a variety of languages and tools (e.g. scripting languages) to marry systems together.
Apply knowledge of Data Architecture components, leads project teams from requirements to implementation.

Education Required

Bachelor’s Degree, preferably in Information Systems, Computer Science, Computer Information Systems or related technology field.

Skills Required

Databricks Lakehouse Expertise (Required): 10+ years in data engineering with deep, hands-on experience across the Databricks ecosystem including Spark/PySpark pipelines, Delta Lake (merges, schema evolution), Delta Live Tables, Unity Catalog governance, Genie for self-service analytics, and LakeFlow Designer for visual ETL orchestration.
Streaming & Cloud Infrastructure: 4+ years building reliable batch/streaming Spark workloads, 3+ years with Kafka (or Confluent) for high-volume event processing, and 3+ years working with AWS analytics services (S3, IAM, Glue/Lambda/MSK).
Data Modeling & SQL: Proven ability to design conceptual, logical, and physical data models with strong governance practices, paired with advanced SQL skills for building reliable, business-ready datasets.
Technical Leadership: Track record of leading technical design, mentoring engineers, driving architectural consensus, and unblocking teams on complex data engineering challenges.
Delivery & Collaboration: Experience delivering ETL/ELT pipelines end-to-end in a lakehouse environment, working within Agile frameworks (Scrum/Kanban/SAFe) to manage iterative delivery and cross-team dependencies.

Skills Desired

Prior experience as a technical lead, staff engineer, or similar role with formal responsibility for architecture decisions and team unblocking.
Python (and/or Scala) and PySpark/Scala-Spark.
Database solutions like Snowflake, Delta Lake or BigQuery.
NoSQL databases, including HBASE and/or Cassandra.
Azure, AWS Serverless technologies, like, S3, Kinesis/MSK, lambda, and Glue.
Messaging Platforms like Kafka, Amazon MSK & TIBCO EMS or IBM MQ Series.
Strong understanding of Relational & Dimensional modeling.
Experience with GIT code versioning software.
Experience with REST API and Web Services.

Work Conditions Location: Atlanta, GA Environment: Hybrid (two days in office; three days remote) Shift Work: No On-Call: Yes Weekend Work: No

Company Overview

Since 1827, Norfolk Southern Corporation (NYSE: NSC) and its predecessor companies have safely moved the goods and materials that drive the U.S. economy. Today, it operates a customer-centric and operations-driven freight transportation network. Committed to furthering sustainability, Norfolk Southern helps its customers avoid 15 million tons of yearly carbon emissions by shipping via rail. Its dedicated team members deliver more than 7 million carloads annually, from agriculture to consumer goods, and is the largest rail shipper of auto products and metals in North America. Norfolk Southern also has the most extensive intermodal network in the eastern U.S., serving a majority of the country’s population and manufacturing base, with connections to every major container port on the Atlantic coast as well as the Gulf of Mexico and Great Lakes. Learn more by visiting www.NorfolkSouthern.com.

At Norfolk Southern, we believe in celebrating our individuality. By leveraging the unique backgrounds and viewpoints of our employees, we can create a culture of innovation, respect, and inclusion. We know that employees thrive in a workplace where differing viewpoints, ideas, and experiences are freely shared and valued. As such, we encourage all employees to contribute their distinctive skills and capabilities to our organization.

Equal employment opportunities are available to all applicants regardless of race, color, religion, age, sex, national origin, disability status, genetic information, veteran status, sexual orientation, and gender identity. Together, we power progress.

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More about this job

Skills

Databricks
Leadership
Problem solving
Data models
Data modelling
Unstructured data
Data analysis
Data engineering
Business intelligence
Research
Reporting
Machine learning
Gather data
Computer science
Apache Spark
PySpark
Unity
Apache Kafka
AWS
Identity and access management
SQL
Coaching
Collaboration
Agile
Scrum
Kanban
Python
Scala
Snowflake
BigQuery
NoSQL
Apache HBase
Apache Cassandra
Microsoft Azure
EMS

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