Top 680 Data engineer Jobs in District Of Columbia

Senior Data Engineer - Databricks/AI (US Citizen/Hybrid work Required)
IvoryCloud —Rockville, MD
- $155,000 - $200,000 a year
- Full-time
- Hybrid work
- 5 years
- Bachelor of Science
- Office
- Health insurance
- 401(k)
Quick Apply
Data Engineer
DCI Solutions —Washington, DC
- $175,000 - $260,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- SQL
- Health savings account
- Relocation assistance
Quick Apply
21h
Senior Data Visualization and Augmented Analytics Engineer
Navy Federal Credit Union —Vienna, VA
- $130,500 - $179,500 a year
- Online Application
- Computer science
- Computer Science
- DevOps
Data Engineer IV
Airlines Reporting Corporation —Arlington, VA
- $107,400 - $160,540 a year
- Full-time
- Hybrid work
- 7 years
- Office
- SQL
- Work from home
Data Engineer
Central Intelligence Agency —Washington, DC
- $75,322 - $158,322 a year
- Full-time
- Computer Science
- Data analysis skills
- Mid-level
- Health insurance
- Dental insurance
Junior Data Engineer
IdeaCrew —Washington, DC
- $100,000 - $120,000 a year
- Full-time
- Remote
- Computer science
- Azure
- Computer Science
- Health insurance
- Paid time off
Associate Data Engineer
Working America Associa —Washington, DC
- $94,209 a year
- Full-time
- SQL
- Associate's degree
- Communication skills
- Health insurance
- 401(k)
Data Engineer
OpenDataJobs —Washington, DC
- $103,000 - $140,000 a year
- Full-time
- Hybrid work
- Mid-level
- Python
- Health insurance
- Dental insurance
Quick Apply
8d
Data Engineer
Cushman & Wakefield —Washington, DC
- $114,750 - $135,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
- Health savings account
- Disability insurance
Quick Apply
Data Engineer
Schnabel —Sterling, VA
- $105,000 - $135,000 a year
- Hybrid work
- 5 years
- SQL
- US work authorization
- Health insurance
- Dental insurance
Quick Apply
9d
Staff Data Engineer (Auth0)
Okta —Washington, DC
- $174,000 - $238,700 a year
- Hybrid work
- System design
- HIPAA
- 8 years
Quick Apply
Senior Data/Visualization Engineer
Leidos —Fort Belvoir, VA
- $107,900 - $195,050 a year
- Full-time
- 6 years
- Computer Science
- Bachelor of Science
Data Engineer (Client Server) - Senior
Cherokee Federal —Reston, VA
- $150,000 - $170,000 a year
- Full-time
- Research
- Master's degree
- SQL
- Health insurance
- Dental insurance
Data Engineer - Analytics Platforms
Peraton —Herndon, VA
- $86,000 - $138,000 a year
- Computer Science
- 5 years
- Bachelor of Science
- Health savings account
- Paid holidays
22h
Cyber Data Analysis Engineer
CACI —Springfield, VA
- $82,100 - $172,400 a year
- Weekends as needed
- Computer Science
- System design
- Research
- Health insurance
Data Engineer
Agile Defense —Fort Meade, MD
- $100,000 - $150,000 a year
- Azure
- Office
- 3 years
- Paid holidays
- Disability insurance
Quick Apply
Data Engineer (All Levels) - Crystal City, VA
Silverthorne Advisory Group LLC —Crystal City, VA
- Full-time
- Hybrid work
- Data analysis skills
- System design
- Mid-level
- Health insurance
- Dental insurance
Quick Apply
Data Engineer
Thomson Reuters —McLean, VA
- $94,000 - $175,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Commuter assistance
- Health savings account
10d
Senior Engineer – Data
GEICO —Bethesda, MD
- $126,090 - $215,000 a year
- Online Application
- Remote
- Azure
- Computer Science
- Mid-level
Data Engineer - Mid
Crimson Phoenix —Springfield, VA
- $127,399 - $196,000 a year
- Full-time
- Mid-level
- Disability insurance
- Health insurance
Quick Apply

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Senior Data Engineer - Databricks/AI (US Citizen/Hybrid work Required)

IvoryCloud
Rockville, MD

Quick Apply

Job Details

Full-time
$155,000 - $200,000 a year

Benefits

Health insurance
401(k)
Paid time off
Vision insurance

Qualifications

Data model design
Data quality checks
Commercial use (data warehousing systems)
Databricks
Data Integration (Data management)
SQL databases
Cloud data warehouses
ETL pipeline development
Bachelor of Science
Data quality assurance
Spark
Schema design
SQL
Data Architecture Design (Architecture design skills)
Production systems
Cloud security best practices implementation
ETL process automation
Bachelor's degree
Data quality monitoring
Data Security (Data management)
DevOps automation
Technical architecture
Python
Data analytics technologies

Full Job Description

Job Overview

We are seeking a highly capable Senior Data Engineer to design, build, and optimize modern data pipelines and analytics platforms. This role is focused on leveraging Databricks as a development environment for large-scale data engineering, transformation, and analytics workloads—not platform administration.

In support of a Department of Energy client, you will work closely with business stakeholders, analytics teams, software engineers, and AI/ML practitioners to build reliable, scalable, and high-performance data solutions that support reporting, operational intelligence, and advanced analytics initiatives.

Requirements

U.S. Citizenship is required and non-negotiable
2 days a week in the Rockville, MD office are required and non-negotiable.
Ability to pass multiple background and employment checks - federal and local.
Bachelor’s degree Technology, Business, or Related Field

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Azure Databricks and Apache Spark.
Build and optimize batch and streaming data processing solutions.
Develop robust ETL/ELT frameworks for structured and semi‑structured data from SQL, APIs, SaaS apps, and Data Live Lake Storage.
Implement transformation logic using PySpark, SQL, and Delta Lake within a Lakehouse / Medallion architecture.
Integrate and model data from SQL, SaaS systems, and cloud storage into unified, analytics‑ready and AI‑ready structures.
Partner with analytics, BI, and AI/ML teams to deliver trusted datasets, semantic layers, and AI‑ready data (features, vector‑ready patterns, embeddings).
Improve data quality, observability, lineage, governance, and security in alignment with Azure and enterprise standards.
Optimize data performance, storage costs, and processing efficiency in cloud environments.
Participate in architecture discussions and contribute to the evolution of the organization’s data platform and engineering best practices.

Required Qualifications

5+ years of hands‑on data engineering experience (or equivalent depth), including production‑grade pipelines.
Strong experience building solutions using Databricks, Spark/PySpark, SQL, and Delta Lake.
Solid understanding of Lakehouse and Medallion architectures and when to apply them.
Advanced SQL skills and experience supporting analytics, BI, or operational reporting workloads.
Experience developing and operating ETL/ELT pipelines on Azure or another major cloud platform.
Familiarity with Git‑based development and CI/CD practices for data pipelines (Azure DevOps or GitHub preferred).
Strong understanding of data modeling (relational + dimensional) for both operational and analytical workloads.
Working knowledge of data quality, lineage, governance, and security concepts in cloud environments.
Note: This role focuses on building data products on Databricks, not platform administration.

Preferred Qualifications

Experience with Databricks features such as Unity Catalog, Delta Live Tables, Workflows, Lakeflow, SQL Warehouse, or Mosaic AI.
Experience using tools that schedule and run data pipelines, such as Data Factory, Synapse pipelines, Airflow, Dagster.
Experience using modern SQL‑based transformation tools such as dbt, Databricks SQL (SQL Warehouse), or Delta Live Tables
Exposure to AI/ML workflows: Azure OpenAI, embeddings, vector stores, feature engineering, or model training pipelines.
Knowledge of streaming technologies such as Kafka, Event Hubs, or Kinesis.
Familiarity with modern data warehouses (Snowflake, Synapse, Redshift) and how they integrate with a Lakehouse.

Technical Environment

Candidates should have experience with several of the following:

Databricks
Apache Spark
PySpark
SQL
Delta Lake
Python
dbt
Airflow
Azure Data Factory
Kafka
Snowflake
Git
CI/CD Pipelines
Cloud Platforms (Azure, AWS, or GCP)

What Success Looks Like

Within the first 6–12 months, you will:

Deliver reliable, production-ready data pipelines supporting critical business use cases.
Improve data processing performance and scalability.
Establish reusable engineering patterns and best practices.
Enable analytics and AI teams with high-quality, trusted datasets.
Contribute to the modernization and growth of the organization’s data platform capabilities.

Education & Certifications

B.S. in Business/Technology-related field

Legal

IvoryCloud is an Equal Opportunity Employer (EEO)

Pay: $155,000.00 - $200,000.00 per year

Benefits:

401(k)
Health insurance
Paid time off
Vision insurance

Application Question(s):

This role requires U.S. Citizenship. Do you meet this requirement?
Can you meet the hybrid requirement of 2 days a week in office in Rockville, Maryland?
Are you able to come into the office for in-person interviews?

Experience:

Databricks: 4 years (Required)

Work Location: In person

Quick Apply

Refine Your Search

data engineer jobs in district of columbia

Senior Data Engineer - Databricks/AI (US Citizen/Hybrid work Required)

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Data Engineer (Client Server) - Senior

Data Engineer - Analytics Platforms

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Data Engineer (All Levels) - Crystal City, VA

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