Data Engineer

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

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 DMAs 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

Bachelors 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

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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 DMAs 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 or and choosing selection 6.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1