Data Engineer

Job Description

Job Description

About Infinitive :

Infinitive is a data and AI consultancy that helps clients modernize, monetize, and operationalize their data to generate lasting value. They pride themselves on their deep industry and technology expertise, ensuring that they drive and sustain the adoption of new capabilities. Infinitive is committed to aligning their team with their clients' culture, ensuring a successful partnership by bringing the right mix of talent and skills for high return on investment.

Infinitive has earned recognition as one of the "Best Small Firms to Work For" by Consulting Magazine, receiving this accolade 8 times, most recently in 2025. They have also been honored as a “Top Workplace” by the Washington Post, “Best Places to Work” by the Washington Business Journal, and “Best Places to Work” by Virginia Business.

Job Summary :

We are seeking a skilled Data Engineer to join our team and play a key role in designing, building, and maintaining robust data pipelines and platforms. The ideal candidate will have strong experience with Python, AWS (Glue, S3, Lambda, CloudWatch), Databricks, Apache Spark, SQL, Snowflake, and DynamoDB. This role involves working with large-scale data processing systems, optimizing ETL / ELT workflows, and ensuring the reliability, scalability, and security of data solutions.

Key Responsibilities :

• Design, develop, and maintain scalable ETL / ELT pipelines using AWS Glue, Databricks, and Apache Spark.
• Work with structured and semi-structured data in Snowflake, DynamoDB, and S3.
• Optimize and troubleshoot Spark jobs for performance and cost efficiency.
• Develop and maintain Lambda functions to support real-time and batch data processing.
• Implement data quality, validation, and monitoring using CloudWatch and other observability tools.
• Design and optimize complex SQL queries for data transformation, aggregation, and reporting.
• Collaborate with cross-functional teams, including Data Scientists, Analysts, and DevOps teams, to support data-driven decision-making.
• Implement best practices for data security, governance, and compliance in the cloud environment.
• Automate data workflows and CI / CD pipelines using infrastructure-as-code and Git-based version control.

Required Qualifications :

Preferred Qualifications :

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