Data Engineer - Databricks

Steampunk; McLean (VA); Hybrid; USD 110,000 - 160,000; Full time

Job summary

Steampunk is seeking a seasoned Data Engineer to design and deliver enterprise-grade data platforms, services and pipelines using Databricks. The role requires strong communication skills and a passion for data and problem solving.

You will lead migrations, optimize ETL, and work with cloud data warehouses and data lakehouse architectures. Expect a challenging, collaborative environment with agile practices and customer-facing responsibilities.

Qualifications

• Ability to obtain and maintain a U.S. government clearance.
• Bachelor's degree and 8+ years of experience in data engineering or 6+ years with a Master's degree; or 12+ years with no degree.
• 2-4 years industry experience coding commercial software and passion for solving complex problems.
• 2-4 years direct experience in Data Engineering with Databricks, Spark, SQL, and AWS.
• Experience with Data Lakehouse architectures and Delta Lake/Iceberg is a plus.

Responsibilities

• Lead and architect migrations of data using Databricks focusing on performance, reliability, and scalability.
• Assess and understand ETL jobs, data marts, BI tools, and reports.
• Address inquiries on customization, integration, and enterprise architecture of data products.
• Support an Agile SDLC and contribute to the growth of the AI & Data Exploitation Practice.

Skills

Databricks

SQL

PySpark/Python

AWS

Airflow

Delta Lake

Data Pipelines

Big data tools

Education

Bachelor's degree

Master's degree

Associate's degree

No degree alternative

Tools

Databricks

Apache Spark

Delta Lake

Informatica EDC

Unity Catalog

Purview

Job description

Overview

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 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 technical inquiries concerning customization, integration, enterprise architecture and general feature/functionalityof data products
• Experienceworking 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 ourAI & Data Exploitation Practice!

Qualifications

• Ability to obtain and maintain a U.S. government.
• Bachelor's degree and 8+ years of experience; OR
  • Masters degree and 6+ years of experience; OR
  • Associate's degree and 10+ years of experience; OR
  • No degree and 12+ years of experience.
• 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.
  • Experienceworking with Data Lakehouse 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 toinspect 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 operating in dev/test/prod environments.
• Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, 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.