Junior Data Engineer at infinitive

About Infinitive:

Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 7 times most recently in 2024.

Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”

Job Summary:

We are seeking a motivated Junior Data Engineer to support our data engineering initiatives by building and maintaining scalable data pipelines on AWS. The ideal candidate has 1–2 years of hands-on experience with Python, PySpark, and cloud-based data platforms, and is eager to grow their technical skills in a fast-paced, collaborative environment.

Key Responsibilities:

Develop, test, and maintain data pipelines using Python and PySpark
Ingest, transform, and clean structured and semi-structured data from multiple sources
Collaborate with senior data engineers and analysts to support data infrastructure needs
Deploy and monitor data workflows on AWS using services like S3, Lambda, Glue, and EMR
Document processes, data models, and pipeline logic clearly for stakeholders
Troubleshoot data issues and assist in performance tuning of jobs and queries

Required Qualifications:

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field
1–2 years of hands-on experience with Python and PySpark
Working knowledge of AWS cloud services (e.g., S3, Lambda, Glue, EMR)
Proficiency with SQL for querying and data manipulation
Basic understanding of data warehousing concepts and ETL processes
Familiarity with version control systems like Git

Preferred Qualifications:

Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions
Exposure to data cataloging and metadata management tools
Understanding of data lake and data warehouse architectures (e.g., Redshift, Snowflake, BigQuery)
Ability to work in Agile development environments
Strong problem-solving and communication skills

Life at infinitive

Infinitive enables global companies to master the digital world, specializing in marketing and advertising solutions, customer data & analytics, and digital and business transformation.

Infinitive is included on the latest LUMA Partners Knowledge LUMAscape and is regularly featured by a range of leading industry publications, including AdAge, MediaPost, AdExchanger, and more.

Our strong workplace culture has received recognition from Inc. magazine, The Washington Post, Consulting Magazine, Washington Business Journal and other top media outlets and awards programs.

Thrive Here & What We Value

Named "Best Small Firms to Work For" by Consulting Magazine 6 times (most recently in 2023)

Recognized as a "Top Workplace" by Washington Post, "Best Places to Work" by Washington Business Journal and Virginia Business

Emphasizes living Infinitive values such as Do the Right Thing, Strive to Be Great, Honor Commitments, Think and Act Like an Owner, Have a Bias for Action

Focuses on enabling global brands through insights, innovation, and efficiency

Possesses deep industry and technology expertise to drive adoption of new capabilities

Matches personalities with clients' culture while bringing the right mix of talent and skills for high ROI

Dynamic team environment with opportunities for growth and development

Equal Opportunity Employer

Passionate and motivated individuals

Job FunctionsData EngineeringPipeline DevelopmentCloud Services

Job RequirementsBachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field1–2 years of hands-on experience with Python and PySparkWorking knowledge of AWS cloud services (e.g., S3, Lambda, Glue, EMR)Proficiency with SQL for querying and data manipulationBasic understanding of data warehousing concepts and ETL processesFamiliarity with version control systems like Git

SkillsPythonPySparkAWS cloud services (e.g., S3, Lambda, Glue, EMR)SQL for querying and data manipulationVersion control systems like GitWorkflow orchestration tools like Apache Airflow or AWS Step FunctionsData cataloging and metadata management toolsStrong problem-solving skillsExcellent communication skills