Steampunk

Senior Data Engineer - Databricks

United States full-time Senior $125,000 - $165,000
full-time Senior level Technology & IT Salary listed Curated
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About the role

Overview
We are looking for seasoned Senior 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 "Senior 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/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.
5-7 years industry experience coding commercial software and a passion for solving complex problems. 
5-7 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 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 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 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 $125,000 to $165,000. 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
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. 
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Senior
Technology & IT API integration Customer Service Data Analysis MySQL Project Management Senior level

Likely questions

  1. Tell us about work you have done that is close to the Senior Data Engineer - Databricks role.
  2. How would you approach your first 30 days at Steampunk?
  3. Which of API integration, Customer Service and Data Analysis have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with API integration, Customer Service and Data Analysis.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Data Engineer - Databricks role because I can bring practical experience in API integration, Customer Service and Data Analysis, learn the team quickly, and contribute to the outcomes Steampunk needs from this hire.

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