What are the responsibilities and job description for the Jr Data Engineer position at Halvik?
Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500 professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special!
Role And Responsibilities
Company-supported medical, dental, vision, life, STD, and LTD insurance
Benefits include 11 federal holidays and PTO
Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements.
401(k) with company matching
Flexible Spending Accounts for commuter, medical, and dependent care expenses
Tuition Assistance
Charitable Contribution matching
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Role And Responsibilities
- Analyze Informatica workflows and mappings to understand source-to-target logic, transformations, dependencies, and scheduling order.
- Convert Informatica mappings into Databricks pipelines using PySpark / Spark SQL
- Implement data ingestion from on-prem and cloud sources into Databricks (landing → bronze → silver)
- Adapt existing ETL logic to align with a new enterprise data model, identifying gaps and required transformation changes
- Support unit testing, reconciliation, and data validation between legacy and modern pipelines
- Document migration logic, assumptions, and deviations from legacy behavior
- Collaborate with senior engineers, data architects, and QA teams during iterative migration cycles
- Working knowledge of Informatica PowerCenter - Mappings, workflows, sessions.
- Common transformations (Source Qualifier, Expression, Lookup, Joiner, Aggregator, Router, Filter)
- Basic to intermediate experience with Databricks: PySpark, Spark, SQL, Notebooks and jobs
- Strong SQL fundamentals (joins, aggregations, window functions)
- Understanding of ETL / ELT concepts, data warehousing, and batch processing Data Modeling & Analysis Skills
- Understand of report development.
- Interpret legacy data models and mapping documents.
- Identify how legacy fields map (or do not map) to a new target data model
- Flag missing logic, derived fields, or transformation gaps early
- Strong attention to detail when validating row counts, aggregates, and business rules
- Exposure to Informatica-to-Databricks migration or similar modernization efforts.
- Familiarity with Delta Lake, medallion architecture (Bronze / Silver / Gold).
- Basic understanding of AWS (S3, IAM concepts)
- Experience reading or generating code from Informatica XML exports
- Bachelor's Degree in a related area or equivalent experience.
Company-supported medical, dental, vision, life, STD, and LTD insurance
Benefits include 11 federal holidays and PTO
Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements.
401(k) with company matching
Flexible Spending Accounts for commuter, medical, and dependent care expenses
Tuition Assistance
Charitable Contribution matching
Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.