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Infinitive

Technology consulting for organizational transformation

Data Engineer Consultant

Data EngineeringConfirmed live in the last 24 hours
Full-timeMcLean, VA, USA$75k - $120k

About the Job

Requirements

  • The candidate must have 1 to 3 years of professional experience in data engineering, software engineering, or a related technical role.
  • The candidate must have a bachelor's degree in computer science, information systems, engineering, mathematics, or a related field, or equivalent experience.
  • The candidate must have hands-on experience with Databricks on a professional or substantial academic project.
  • The candidate must have working proficiency in Python for data processing.
  • The candidate must have experience building transformations with Apache Spark and PySpark, including DataFrames and Spark SQL.
  • The candidate must have strong SQL skills, including joins, window functions, common table expressions, and aggregations.
  • The candidate must understand ETL concepts such as incremental loads, slowly changing dimensions, dimensional modeling, and data quality checks.
  • The candidate must be familiar with at least one cloud platform: AWS, Azure, or Google Cloud.
  • The candidate must have clear written and verbal communication skills and be comfortable explaining technical work to non-technical stakeholders.
  • The candidate must be authorized to work in the United States.

Responsibilities

  • 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, including Amazon S3 and 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, participate in code reviews, and contribute to CI/CD pipelines.
  • Document pipelines, source-to-target mappings, and runbooks so client teams can operate the work.
  • Join client meetings to clarify requirements, report status, and walk through completed work.

Desired Qualifications

  • 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.

About the Company

Infinitive

Technology consulting for organizational transformation

Infinitive is a transformation and technology consultancy that helps global brands achieve measurable results through strategy, technology enablement, and organizational change. Its services combine deep industry and technology expertise with tailored team placements to drive adoption of new capabilities and deliver a high return on investment. The company emphasizes matching its people to a client’s culture and building the right mix of talent and skills to sustain impact. Infinitive differentiates itself through its recognized strong workplace culture, which has earned coverage and awards from outlets like Inc. magazine, The Washington Post, Consulting Magazine, and the Washington Business Journal, and by prioritizing practical outcomes over flashy promises. The goal is to empower clients to transform operations and technology systems in a way that yields lasting improvements and business value.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Ashburn, VA
Founded
2003

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