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# Consultant, Data Engineer

- **Company:** Infinitive
- **Location:** McLean, VA, United States
- **Experience:** Starter
- **Salary:** $75,000 - $120,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, Cloud Storage, Code Review, Information Systems, Continuous Integration, Data Validation, Information Engineering, Extract Transform Load (ETL), Relational Databases, Dimensional Modeling, Github, Apache Hive, Python (Programming Language), Standard Sql, Azure Data Lake, Software Engineering, SQL Databases, Data Processing, Google Cloud, Cloud Platform System, Azure Data Factory, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, Data Management, Terraform, Databricks
- **Published:** October 14, 2026
- **Apply:** http://infinitive.theresumator.com/apply/jobs/details/6LPXaivOQd

## About the Role

* 1 to 3 years of professional experience in data engineering, software engineering or a related technical role.
 * Bachelor's degree in computer science, information systems, engineering, mathematics or a related field, or equivalent experience.
 * Hands-on experience with Databricks on a professional or substantial academic project.
 * Working proficiency in Python for data processing.
 * Experience building transformations with Apache Spark and PySpark (DataFrames and Spark SQL).
 * Strong SQL, including joins, window functions, CTEs and aggregations.
 * Understanding of ETL concepts such as incremental loads, slowly changing dimensions, dimensional modeling and data quality checks.
 * Familiarity with at least one cloud platform (AWS, Azure or Google Cloud).
 * Clear written and verbal communication, and comfort explaining technical work to non-technical stakeholders.
 * Authorization to work in the United States [confirm sponsorship policy]., * Databricks Certified Data Engineer Associate certification.
 * Experience with Delta Lake features such as MERGE and time travel, or with Lakeflow Declarative Pipelines (formerly Delta Live Tables).
 * Exposure to Unity Catalog, dbt, Apache Airflow or Azure Data Factory.
 * Experience with Terraform or CI/CD tools such as GitHub Actions or Azure DevOps.
 * Prior consulting or client-facing experience.
 * Background in financial services, healthcare or media data.

## Description

As a Consultant, Data Engineer, you will build and maintain data pipelines on Databricks for Infinitive clients. You will work on project teams with senior engineers, architects and business analysts, writing production Python, PySpark and SQL code that moves data from source systems into tables the client's analysts and data scientists use every day. The role is ideal for an engineer with one to three years of experience who wants client-facing work and regular exposure to new data platforms and industries. The client location is McLean, Virginia., * Build and maintain batch and incremental ETL pipelines in Databricks using Python, PySpark and Spark SQL.

 * Ingest data from relational databases, APIs, flat files and cloud storage (Amazon S3, Azure Data Lake Storage) into Delta Lake tables.
 * Implement bronze, silver and gold layers following medallion architecture patterns.
 * Write and tune SQL for transformations, data validation and reporting tables.
 * Add data quality checks, handle schema changes and troubleshoot failed jobs.
 * Schedule and monitor workloads with Databricks Workflows, working within Unity Catalog permissions.
 * Tune Spark jobs for performance and cost, including partitioning, file sizing and cluster configuration.
 * Use Git for version control, take part in code reviews and contribute to CI/CD pipelines.
 * Document pipelines, source-to-target mappings and runbooks so client teams can run what you build.
 * Join client meetings to clarify requirements, report status and walk through your work.