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Senior Analytics Engineer

Job in Springfield, Sangamon County, Illinois, 62777, USA
Listing for: Harnham
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

A fast-growing financial services company is looking for a Senior Analytics Engineer to join a high-impact, business-facing data team. This role sits at the intersection of analytics engineering and data engineering, with a strong focus on SQL, data modeling, and building trusted datasets from complex source systems.

This is a hands-on position where you will work directly with raw data, design scalable data models, and take full ownership of pipelines from ingestion through to business-ready outputs. The environment is fast-paced and requires someone comfortable operating with ambiguity, solving problems independently, and working closely with stakeholders across the business.

The Role
  • Build and own end-to-end data pipelines from ingestion through staging to curated data marts
  • Work directly with raw and imperfect data, identifying and resolving data quality issues upstream
  • Design and implement scalable data models to support analytics and business decision-making
  • Write complex, high-performance SQL to transform and validate data
  • Develop and maintain workflows using modern data tools and orchestration frameworks
  • Investigate and debug data issues across systems, ensuring accuracy and reliability
  • Implement data quality checks and monitoring to prevent downstream issues
  • Partner with business stakeholders to understand requirements and deliver trusted datasets
Requirements
  • 5+ years of experience in analytics engineering or data engineering
  • Advanced SQL skills including joins, window functions, and performance optimization
  • Strong experience with data modeling, including building marts from raw data
  • Hands-on experience with Snowflake, dbt, Airflow, and modern ELT workflows
  • Proficiency in Python for data processing and automation
  • Experience working with cloud platforms, ideally AWS
  • Ability to work independently and solve problems in ambiguous environments
  • Strong communication skills and experience working with non-technical stakeholders
Nice to Have
  • Experience in financial services or other data-intensive industries
  • Exposure to database performance tuning, indexing, and query optimization
  • Experience working with messy or poorly documented data sources

This is an opportunity to join a lean, high-performing team where data plays a central role in driving business decisions. The role offers strong ownership, visibility, and the chance to build scalable data solutions from the ground up.

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Position Requirements
10+ Years work experience
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