Resultant is a modern consulting firm with a radically different approach to solving problems.

We don’t solve problems for our clients. We solve problems with them.

Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they’re striving for so we can feel their problems as our own. Partnering with our clients means their desired outcomes are always top of mind, their challenges and strengths guiding our efforts. We build client-focused relationships before we build unique solutions that blaze past expectations.

Originally founded in Indianapolis in 2008, Resultant now employs more than 400 team members who operate from offices around the United States including Indianapolis and Fort Wayne, Indiana; Columbus, Ohio; Lansing, Michigan; Denver, Colorado; Dallas, Texas and Atlanta, Georgia.

We’re Resultant. Clients partner with us to see a difference. People join us to make one.

At Resultant we are fearless problem solvers.  We are passionate about helping our clients solve their toughest problems.  Data analytics is a core component of how we do this.

We are looking for Data Engineers to join our talented data analytics team.  As a Data Engineer, you will work closely with many teams across our company on complex, advanced analytical projects to perform data sourcing, data profiling, and other data manipulation functions. 

You will be directly responsible for the solutions we build for our clients, addressing their business needs through requirements gathering and collaborating on solution reviews. We are looking for self-starters with the skills necessary to empathize with the clients’ needs, translate technical complexities, develop appropriate solutions, and contribute to the growth of our technology and data-driven company.

Consider your day-to-day responsibilities in this role:

• Work closely with the solution leads, project managers, data architects, and data scientists on solution design, architecture, and implementation
• Performing extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods.
• Querying and processing large data sets and perform data quality checks.
• Designing and implementing data solutions for operational and secure integration across systems.

• Assist in creating database models and architecture design and documentation
• Conduct research and development as well as contribute to the long-term positioning of and emerging technologies related to data sourcing, cleansing, and integration
• Documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
• Improving operations by conducting systems analysis; recommending changes in policies and procedures.
• Involvement in client-facing project activities such as requirements gathering, solution reviews, and explaining technical complexities and business benefits in layperson terms.

Some of the qualifications and skills we are expecting include the following:

• Bachelor’s degree in Computer Science, Engineering or a similar field is required

• 3+ years of data engineering, software engineer, or similar experience
• 3+ years od data warehouse integration experience using tools such as Wherescape, Matillion, Fivetran, etc.
• 2+ hands-on industry experience working with SQL on various relational database platforms (Microsoft, Oracle, Hana, Postgres, etc.)
• 2+ hands-on industry experience working with enterprise ETL/DW tools like Azure Data Factory, Snowflake, Redshift, Informatica, etc.
• Hands-on experience with aspects of data engineering design and implementation including data sourcing, data modeling of warehouses/marts/repositories, data integration/transformation/ETL, APIs, reporting, business intelligence and analytics
• Hands-on experience with modern programing languages like Python, C#, JavaScript, etc.

• Hands-on experience with cloud platforms like AWS, Azure, GCP, etc. 
• Hands-on experience with NoSQL databases like MongoDB (preferred), CouchDB, Cosmos, etc. a plus
• Hands-on experience with Graph databases like Neo4j (preferred), Cosmos DB, Neptune, etc. a plus
• Experience with Docker for containerization and Kubernetes for orchestration a plus
• Experience with “big data” and distributed tools like Hadoop, Spark, Cloudera, etc. a plus

• Collaborative team player who is detailed oriented, focused on solution quality and execution
• Progressive mindset particularly around deployment models and emerging technologies
• Comfortable working across a wide range of project sizes and industries

What you should know about us: 

• We are humble, hungry, and smart. We solve big problems, serve lots of clients, and are entirely committed to delivering transformative outcomes.
• We are team players, deeply dedicated to the mission of the organization, and to helping everyone around us be successful.
• We compensate well, rewarding performance that delivers positive outcomes for our clients.
• Our leaders work hard, serving as shining examples of what it means to live out our values. They are servant leaders, helping their teams to be successful in all possible ways.
• We offer several opportunities to develop yourself.
• We pride ourselves in having the best talent in the industry and hope that you're up for the challenge!

What our team members say about us:

• "I love our true empathy and concern for our clients, it's very rare and appreciated. It is a pleasure to be a part of an organization like this."
• "I learn something new every single day, and I feel like I'm a part of building an organization that has legs. I appreciate that I'm consistently humbled by the talent and caliber of our team."
• "The culture of the company is amazing, and the climate of my team is great. The benefits that employees are offered are better than competitors, and the one-on-one presence that my team lead gives is extremely beneficial to me."

All qualified applicants will receive consideration for employment without regard to age, color, sex, disability, national origin, race, religion, or veteran status.

Equal Opportunity Employer

We embrace AI across everything we do, and that includes how you prepare for this interview. Feel free to use AI tools to research the role, practice your responses, and put your best foot forward. What matters to us is getting to know the real you — how you think, how you communicate, and what you genuinely bring to the table. Our interviews are designed to go deeper than any polished answer, so come curious and come as yourself without the support of an AI tool during our conversation.