Senior Data Engineer

Company Description

We are a passionate team of 300+ engineers, mathematicians, data analysts, project managers, and business consultants. But more importantly, we are active listeners, deep thinkers, and courageous problem solvers. 

The Resultant team purposefully comes together to produce a positive outcome. Our name symbolizes our commitment to empathy and collaboration—of not just delivering our clients with the best solutions, but to deeply listening to them, understanding their needs, and learning from each other in the process. The force of Resultant comes from the combined knowledge, passion, and innovation of our team and partners. 

Together, we partner with clients in the public and private sectors to help them overcome their most complex challenges, empowering our clients to drive meaningful change in their organizations and communities. In everything you do, you’ll help your clients, colleagues, and communities thrive.  

Resultant was founded as KSM Consulting in 2008. 

Job Description

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.  

Here’s what a typical day for you might look like:  

• Work closely with the solution leads, project managers, data architects, and data scientists on solution design, architecture, and implementation  

• Perform extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods.  

• Query and process large data sets and perform data profiling and data quality assessments.  

• Design and implement data solutions for integration across systems that are both secure and operational.  

• 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  

• Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.  

• Improve operations by conducting systems analysis; recommending changes in policies and procedures.  

• Participate in client-facing project activities such as requirements gathering, solution reviews, and explaining technical complexities and business benefits in layperson terms.   

Qualifications

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

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

• 5+ years in a Data Engineer role or similar delivering enterprise data lakes/lakehouses/warehouses  

• 3+ years client-facing Consulting experience  

• 3+ years hands-on industry experience working with Databricks 

• 2+ years hands-on industry experience working with one or more of the following databases/platforms: PostgreSQL, SQL Server, Oracle, Snowflake, Synapse, BigQuery, RedShift, MongoDB, Neo4j 

• 3+ years hands-on industry experience implementing data pipelines/ETL solutions  

• 3+ years hands-on experience designing and implementing cloud data solutions on at least one of the following: Azure, AWS, GCP 

• 1+ years working with one or more of the following programming languages: Python, C#, Java, Go, JavaScript, Spark-SQL, PySpark  

• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. 

• Collaborative team player who is detailed oriented, focused on solution quality and execution   

• Progressive mindset particularly around innovation and emerging technologies   

• Comfortable working across a wide range of project sizes and industries   

Additional Information

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, rewardin