Data Engineer - Databricks

Steampunk, Inc.; McLean (VA); On-site; USD 110,000 - 160,000; Full time

Job summary

Steampunk in McLean, Virginia, is seeking a seasoned Data Engineer to partner with clients and build enterprise-grade data platforms, pipelines and Databricks-based solutions. You will lead data migrations with performance, reliability and scalability in mind, and work across ETL, data marts, BI tools and reports.

The role requires 2–4 years of data engineering experience, strong SQL and PySpark/Python, plus AWS experience.

Qualifications

• 2-4 years industry experience coding commercial software and solving complex problems.
• 2-4 years direct experience in Data Engineering with Databricks, Spark, Delta Lake.
• Relational SQL (T-SQL preferred) and data pipelines (Airflow, Databricks Workflows, Step Functions).
• AWS cloud services: Databricks on AWS, S3, EC2, RDS (Azure equivalents acceptable).
• Proficiency in PySpark/Python, Java/Scala is a plus; Delta Lake/ data lakehouse knowledge.
• Experience in an Agile environment and collaborating with data scientists.

Responsibilities

• Lead and architect migrations of data using Databricks with focus on performance, reliability, and scalability.
• Assess and understand ETL jobs, workflows, data marts, BI tools, and reports.
• Address inquiries concerning customization, integration, enterprise architecture and feature functionality of data products.
• Support an Agile software development lifecycle.
• You will contribute to the growth of our AI & Data Exploitation Practice.

Skills

Databricks

SQL

PySpark / Python

AWS

Databricks Workflows

Airflow

Delta Lake

Big data tools

Spark

Data pipelines

Tools

Databricks

Airflow

Step Functions

Databricks Workflows

Job description

We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks .We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

Contributions

• Lead and architect migration s of data using Databricks with focus on performance , reliability , and scalability .
• Assess and understand ETL jobs, workflows, data marts, BI tools, and reports
• Address technical inquiries concerning customization, integration, enterprise architecture and general feature/functionality of data products
• Experience working with database/data warehouse /data mart solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
• Key must have skill sets – Databricks, SQL, PySpark / Python , AWS
• Support an Agile software development lifecycle
• You will contribute to the growth of our AI & Data Exploitation Practice !

Qualifications

• Ability to hold a position of public trust with the US government.
• 2-4 years industry experience coding commercial software and a passion for solving complex problems.
• 2-4 years direct experience in Data Engineering with experience in tools such as:
• Big data tools: Databricks, Apache Spark, Delta Lake , etc.
• Relational SQL (Preferably T-SQL. Alternatively pgSQL , MySQL) .
• Data pipeline and workflow management tools: Databricks Workflows , Airflow, Step Functions, etc.
• AWS cloud services: Databricks on AWS, S3, EC2, RDS (or Azure equivalents) .
• Object-oriented/object function scripting languages: PySpark / Python, Java, C++, Scala, etc.
• Experience working with Data Lake house architecture and Delta Lake /Apache Iceberg
• Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
• Experience manipulating, processing , and extracting value from large, disconnected datasets.
• Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks.
• Experience manipulating structured and unstructured data .
• Experience architecting data systems (transactional and warehouses).
• Experience the SDLC, CI/CD, and op erating in dev/test/prod environments.
• Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alati on, Purview, or DataZone is a plus .
• Commitment to data governance.
• Experience working in an Agile environment .
• Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models

About Steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $110,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk’s total compensation package for employees. Learn more about additional Steampunk benefits here.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.