Data Engineer

DMA - DuCharme, McMillen & Associates, Inc.•Indianapolis, IN

47d•Hybrid

About The Position

As an employee-owned company, DMA prioritizes employees. Low turnover rates and tenured teams are living proof: 2025 Great Places to Work Certified Employee stock ownership program eligibility begins on day one of employment (ESOP contribution is targeted at 6% of your annual compensation) Company paid parental leave Generous time off package Multiple benefit plans, eligibility begins on day one of employment Culturally focused on work/life balance, mental health, and the overall wellness of our employees Position Summary The Data Analyst will be primarily responsible for creating and maintaining DMA’s infrastructure and systems that enable the collection, storage, and processing of data. This role is essential for ensuring data is accessible, reliable, and optimized for analysis and decision-making.

Requirements

Bachelor’s degree in computer science, information systems, engineering, or related field.
2 to 5 years’ experience as a data engineering role
Familiarity with professional programming preferred
Familiarity with relevant business domains
Ability to analyze large datasets and write comprehensive reports
Experience in data models and reporting packages
Experience working with data and data analytics development, preferably within the Microsoft data platform
Ability to understand business needs and translate them into technical solutions
Works effectively with analysts, stakeholders, and IT teams to deliver data solutions that drive business value
Proficiency in SQL and experience with relational and non-relational databases
Proficient with ELT/ETL and Data Warehousing development
Knowledge of relational databases and object-relational mapping concepts
Commitment to data quality, governance, and compliance
Understanding of data modeling, normalization, and schema design
Excellent organizational skills: ability to handle multiple projects
An analytical mind and inclination for problem-solving
Strong verbal and written communication skills

Responsibilities

Design, build, and maintain robust data pipelines and ETL processes to ingest, transform, and deliver data from various sources.
Mine data from primary and secondary sources, then reorganize said data in a format that can be easily read by either human or machine
Use statistical tools to interpret data sets, pay particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts
Collaborate with programmers and engineers to improve efficiency and data organization; improve performance through data structure and query optimization
Ensure data integrity, quality, and security across all systems and platforms
Work with departments to provide insight and identify opportunities, improvements, recommend system modifications, and develop policies for data governance
Integrate structured and unstructured data from internal and external sources.
Monitor and troubleshoot data workflows, resolving issues proactively
Design, implement, and maintain critical data systems from ETL/ELT, Data Warehouse, BI Tools, and everything in between
Maintain documentation for data architecture, processes, and standards
Collaborate with data scientists, analysts, and product teams to support data needs.
Analyze requirements from the business and provide solutions or guidance for solutions
Work with senior data analyst to establish data governance
Perform other duties as assigned

Benefits

Employee stock ownership program eligibility begins on day one of employment (ESOP contribution is targeted at 6% of your annual compensation)
Company paid parental leave
Generous time off package
Multiple benefit plans, eligibility begins on day one of employment
Culturally focused on work/life balance, mental health, and the overall wellness of our employees

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