Data Engineer

Posted Yesterday
2 Locations
Hybrid
Mid level
Professional Services
The Role
Builds and maintains data pipelines, ETL/ELT processes, data warehouses, BI systems, and data governance practices. Integrates structured and unstructured data, ensures data quality and security, monitors workflows, optimizes queries and data structures, and translates business requirements into technical solutions. Collaborates with analysts, engineers, data scientists, product teams, and stakeholders to provide reliable data infrastructure and actionable insights.
Summary Generated by Built In

As an employee-owned company, DMA prioritizes employees. Low turnover rates and tenured teams are living proof:  

  • 2026 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, and the overall wellness of our employees

This is a hybrid position with an expectation to be in our Fort Wayne, IN office a minimum of two days per week. This position does not qualify for relocation assistance. Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. This position does not qualify for employment-based sponsorship. 

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.

Essential Duties and 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

Non-Essential Duties and Responsibilities

· Perform other duties as assigned

Education and Qualifications

· 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

#LI-JS1

#LI-HYBRID

The Company is an equal employment opportunity employer and is committed to providing equal employment opportunities to its applicants and employees. The Company does not discriminate in employment opportunities or practices on the basis of race, color, religion, gender, national origin, citizenship, age, disability, veteran status, genetic information, or any other category covered by applicable federal, state, or local law. This equal employment opportunity policy applies to all employment policies, procedures, and practices, including but not limited to hiring, promotion, compensation, training, benefits, work assignments, discipline, termination, and all other terms and conditions of employment.
It is DMA's policy to make reasonable accommodations for qualified individuals with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please contact our Human Resources team at [email protected] or 800-309-2110 and choosing selection 6. 

Skills Required

  • Bachelor’s degree in computer science, information systems, engineering, or a related field
  • 2 to 5 years of experience in data engineering
  • Ability to analyze large datasets and write comprehensive reports
  • Experience with 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
  • Proficiency in SQL and experience with relational and non-relational databases
  • Proficiency 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 and ability to handle multiple projects
  • Analytical mindset and problem-solving ability
  • Strong verbal and written communication skills
  • Familiarity with professional programming
  • Familiarity with relevant business domains
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The Company
HQ: Fort Wayne, IN
1,000 Employees
Year Founded: 1972

What We Do

DMA is an employee-owned corporate tax consulting firm serving companies across North America and globally. It partners with clients’ tax teams to manage compliance, optimize tax strategy, and identify opportunities to reduce costs and liabilities. Its work includes consulting and tax technology solutions, as well as personal-property and transaction-tax matters and business-license compliance. DMA emphasizes specialized expertise and collaborative client service.

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