Data & Software Engineer

Bespoke Technologies, Inc

$100K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Active Poly clearance is mandatory.
  • 5+ years of experience in data engineering.
  • Proficient in Apache Spark and PySpark.
  • Advanced knowledge of Python, including libraries like Pandas and NumPy.
  • Experienced with Docker and cloud services, specifically AWS.
  • Familiarity with SQL and NoSQL databases, such as MySQL and DynamoDB.
  • Competence in using orchestration tools like Apache Airflow.

Responsibilities

  • Collaborate with stakeholders to gather data requirements and design solutions independently.
  • Resolve data quality issues and optimize pipeline performance through analytical problem-solving.
  • Assist in large-scale data migrations and enhancement of existing platforms.
  • Document engineering best practices and design patterns for team reference.

Benefits

  • Fully on-site position in McLean, VA.
  • Opportunity to work on complex data flows for a custom application.
  • Engage with advanced technologies in cloud computing and data engineering.
  • Exposure to industry best practices in data governance and compliance.
Full Job Description
BT-338 - Data & Software Engineer
Skill Level: Mid-SME
Location: McLean, VA (fully on-site, no remote option)

**Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not be considered.**

The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale.

Candidate must have experience:
  • Building end-to-end data pipelines leveraging Python
  • Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs
  • Containerizing and deploying applications in cloud environments like AWS.
  • Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads.
  • Leveraging industry standard tools for code control (Git, IaaC control, etc.)
  • Working with data catalogs, tracking data lineage and handling a variety of data formats, including Geospatial.
  • Using Bash scripting for automation and data processing tasks
  • Integrating Al/ML services and models

Responsibilities:
  • Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight
  • Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks
  • Leverage a background in large-scale data migration or platform modernization efforts
  • Contribute to data engineering documentation, best practices, and design patterns.

Required Skills:
Minimum of 5 years' experience with:
  • Apache Spark & PySpark
  • Advanced Python skills (including Pandas & NumPy)
  • Docker, Podman
  • AWS S3, Lambda & Step functions
  • Apache Iceberg, Airflow, etc.
  • SQL (with Trino)
  • NoSQL, DynamoDB
  • Unity Catalog OSS, Apache Polaris
  • Apache Superset
  • Terraform or CloudFormation
  • OpenLineage
  • H3, PostGIS

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