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Data Engineer ID50062 jobs in United States
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AgileEngine · 6 hours ago

Data Engineer ID50062

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. The Senior Data Engineer role is central to transforming large, diverse datasets into reliable insights that support research and strategic decisions across a global financial platform.
Product DesignSoftware
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Growth Opportunities
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Responsibilities

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

Qualification

PythonData processing librariesBig Data technologiesAirflowCloud platformsSQLNoSQLTerraformMedallion ArchitectureOpenSearchScalaUpper-intermediate EnglishDocumentation skills

Required

Applicants must be authorized to work for ANY employer in the US (i.e. Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD). We are unable to sponsor or take over sponsorship of an employment Visa at this time
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

Preferred

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

Benefits

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.

Company

AgileEngine

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The provider of solutions and services for the full cycle of software product development.

Funding

Current Stage
Late Stage

Leadership Team

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Alex Kalinovsky
Founder and CEO
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Denis Girenko
VP of Engineering
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Company data provided by crunchbase