As a Senior Data Engineer with Resource Data, you’ll help design and develop data and integration solutions that elevates enterprise systems efficiency, performance, and value. You’ll join a team of technical consultants to help provide solutions to our client’s most challenging enterprise IT problems. You’ll work closely with the client to understand both their business processes and analytics needs to design and build data pipelines and cloud data solutions. You will have the opportunity to guide best practices in data warehousing, data processing, and data management design.
The team is currently designing and implementing a custom data warehouse solution using Microsoft Fabric and Synapse as part of a major technical transformation. Your vision will shape the deliverables for project managers, designers, and junior data engineers throughout different stages of this multifaceted initiative.
Key Responsibilities
- Work with clients and project teams to create data pipeline architectures, data integrations, and BI solutions such as data visualizations and dashboards.
- Identify, design, and implement process improvements for our clients: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL, Azure, and AWS technologies
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
Basic Qualifications
- 5+ years' experience in a role involving database development, data modeling relational database design, building data pipelines, data migration, ETL development, etc.
- Experience developing data warehouse solutions using Microsoft Fabric or Synapse
Preferred Qualifications
- 3+ years' consulting or analytics project delivery through the entire software lifecycle
- Experience with C#, Java, Python, and R
- Experience with custom application development and the Software
- Experience in data structures, algorithms, and strong programming skills in Python, R or Java
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About Us
For more than 37 years, we’ve designed and built innovative technology solutions for our clients most complex challenges. We work on diverse projects spanning different industries, tech stacks, and systems. Forming strong partnerships with our clients is a cornerstone of our success. As a result, we’ve expanded to 5 locations and more than 200 employees.
We Believe in Team
We come from diverse backgrounds, not just IT, and have a wide range of interests. This diversity brings unique perspectives and insights to our work. You’ll always find support from coworkers—no matter their role or location. We believe in working together, pooling our ideas and expertise to achieve amazing results. Together, let’s conquer challenges and grow our skills all while enjoying our work.
It’s About Balance
“Work-life balance” isn’t a catch phrase, it’s a core value we live every day. Say goodbye to overtime, long hours, and constant travel. Our culture is built around focusing on what truly matters to you. Whether it’s investing quality time with family, achieving personal fitness goals, dominating your favorite game, or embarking on that dream safari, we support your outside interests.
Join us and discover a more fulfilling and enjoyable way to work.
Resource Data is an Equal Opportunity Employer and welcomes any qualified individuals authorized to work for ANY employer in the U.S.
Please note: Resource Data will not provide immigration-related support or sponsor employment authorization for this position. Immigration related support includes documentation needed for any international student curricular, optional practical training (OPT), or exchange programs. Visas that require sponsorship include any employment authorization documents that require immigration support from an employer. Resource Data is not accepting candidates from third-party agencies at this time. The following states are not approved for remote payroll at this time: New York, California, New Jersey, Kentucky, Maine, Montana, New Hampshire, New Mexico, Vermont, Hawaii.
