Data Engineer ID50062

Department: Engineering
Specialization: Data Engineer
Experience: Senior
Technologies: Big Data Python
Locations: USA
Technical flow: Data Engineer Python
Engineering technical flow: Data Engineer Python
Non-engineering technical flow: none
  • What you will do

  • Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
  • Design and implement robust ETL/ELT processes at scale using Python and pipeline orchestration tools like Airflow;
  • Develop ingestion workflows from diverse third-party APIs and data sources;
  • Manage and optimize file formats such as Parquet, Avro, and ORC for high-performance data retrieval;
  • Work with AI development tools to support machine learning initiatives and advanced analytics;
  • Act as a technical consultant to gather requirements, understand business goals, and translate them into technical roadmaps;
  • Work with Terraform and other tools to build AWS and on-prem infrastructure.
  • Must haves

  • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
  • Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
  • 5+ years of experience with Python with strong hands-on expertise;
  • 5+ years of experience with data processing and analytics libraries such as Pandas, Polars, PySpark, and DuckDB;
  • 2+ years of experience with Big Data technologies such as Spark and Snowflake;
  • Expert-level knowledge of Airflow or similar pipeline orchestration tools;
  • Deep understanding of Medallion Architecture, columnar file formats, and database technologies including SQL, NoSQL, and Lakehouse architectures;
  • Proven ability to work with third-party APIs for complex data ingestion;
  • Proficiency with cloud platforms such as AWS, GCP, and Snowflake, including advanced SQL optimization;
  • Upper-intermediate English level.
  • Nice to haves

  • Familiarity with the fintech industry and financial data domains;
  • Documentation skills for data pipelines, architecture designs, and best practices;
  • OpenSearch or Elasticsearch;
  • AWS SageMaker Studio and Jupyter for data analysis;
  • Terraform;
  • Scala.

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!

About the project

The benefits of joining us

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Your AgileEngine journey starts here

1

2 min

Tell us about yourself

2

2 sec

Confirm requirements

3

30 - 60 min

Pass a short test

4

5 min

Record a short video

→ Introduce yourself on a video, instead of waiting for an interview

5

Live interview

Ace the technical interview with our team

→ Schedule a call yourself right away after your video is reviewed

6

Live interview

Final interview with your team

→ Get to know the team you will be working with

7

Get an offer

As quick as possible

Our geography

UTC-5
WASHINGTON DC USA
UTC-5
MIAMI USA
UTC-6
MEXICOMexico
UTC-5
ColombiaColombia
UTC-3
BrazilBrazil
UTC-3
ArgentinaArgentina
UTC+2
UkraineEurope
UTC+1
PolandEurope
UTC+0
PortugalPortugal
UTC+5:30
IndiaIndia

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