Staff Data Engineer

Shift5

Staff Data Engineer creating robust data processing pipelines and ensuring data accuracy for Shift5. Collaborating with cross-functional teams to enhance operational technology for defense and commercial fleets.

Posted 6/29/2026full-timeRosslyn • Virginia • 🇺🇸 United StatesLead💰 $185,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining scalable data processing pipelines using technologies like Apache Airflow and AWS. Proficient in software engineering practices, data modeling, and containerization with a focus on delivering high-quality, reliable solutions.

Highest-signal resume keywords

Apache AirflowGoLangData ModelingAWS Cloud ServicesBig Data

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringBatch Data ProcessingStreaming Data ProcessingRelational DatabasesData IntegrityData OntologiesContainerizationCloud MonitoringData IntegrationData Analysis

Soft Skills

MentoringCollaborationProblem-Solving

Tools & Technologies

DockerKubernetesPostgreSQLMySQLOracleHadoopSparkBenthos

Industry Keywords

Data EngineeringData PipelinesSemantic Data ModelsTransportation EngineeringData Products

Tech Stack

Tools & technologies

AirflowApacheAWSCloudDockerHadoopJavaKubernetesMySQLOraclePostgresPythonSpark

About the role

Key responsibilities & impact

Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines using technologies such as Apache Airflow or Benthos.
Interpret requirements and design specifications, taking full ownership of building features from the ground up. Mentor and lead the rest of your team to deliver the right solutions.
Write clean, well-documented, scalable, extensible, and testable code to ensure application quality and maintainability.
Partner with data scientists and engineers to create semantic data models representing complex vehicular systems, and integrate applications cleanly across other Shift5 componentry.
Build scalable data products for data scientists, transportation engineers, and executives to drive insights and decision-making.
Create efficient, reliable, cost-effective, dynamically scalable, and observable solutions utilizing AWS cloud services.
Analyze complex data sets to create data ontologies, verify data quality/integrity, and ensure data accuracy throughout pipelines.
Support the design process and occasionally travel to customer sites (estimated a few times per year) to collaborate with Field Engineers on data integration and deployment.

Requirements

What you’ll need

6+ years of software/data engineering experience with a deep understanding of software engineering practices and concepts.
6+ years of experience with a major programming language (GoLang, Java, or Python).
6+ years of relational database experience (PostgreSQL, MySQL, Oracle, etc.) alongside 6+ years of experience with Big Data (Hadoop, Spark) and Data Modeling.
4+ years of experience with containerization and cloud services (Docker, Kubernetes) and cloud monitoring tools.
Expertise with batch and streaming data pipelines (Apache Airflow, Benthos) and familiarity with modern data stack components (ingestion, transformation, orchestration).

Benefits

Comp & perks

Bonus program and equity in a fast-growing startup
Competitive medical, dental, and vision coverage for employees and their families
Health Savings Account with annual employer contributions
Employer-paid Life and Disability Insurance
Uncapped paid time off policy
Flexible work & remote work policy
Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA)