Data Engineer (Remote)

Our team and broader organization strives to ensure that each opinion is heard and valued. We actively work to build an inclusive environment where our employees can contribute their diverse personal and professional experience to the work we do each day.

Job Purpose:

Responsible for collecting, storing, processing and building data capabilities within big data platforms for both business analytics and data science needs. Capable of leveraging both structured and unstructured data sets. Able to curate high-quality data sets using open source technologies and cloud native tools. Maintains best practices for data integration, quality, design, performance, processing, and reliability.

Job Responsibilities:

Data Modeling & Analysis (75%)

• Perform exploratory data analyses and provide guidance for use (both for marketing analysis and data science)
• Partner with data scientists on both model rebuilds and new model development
• Analyze new (possibly unstructured) data sources to determine what additional value they may bring and how to effectively make use of them
• Review developed solutions to solve specific business problems
• Investigate, analyze and recommend data formats and structure
• Knowledge of how data entities and elements should be structured to assure accuracy, performance, understanding, operational, analytical, reporting, and data science efficiencies
• Thought partner in prototyping emerging self-service technologies involving data ingestion and transformation, distributed file systems, databases and frameworks
• Work on cross-functional teams to design and test data-driven applications and products

Business Communication (25%)

• Communicates complex ideas, anticipates potential objections and persuades others, often at senior levels, to adopt a different point of view
• Keeps up to date on industry, competitor and market trends
• Communicates difficult concepts and negotiates with others to persuade a different point of view
• Actively solicits and listens to feedback to determine need for change or improvement
• Thought partner for development teams in applying data modeling techniques and the usage of data modeling and repository tools in consumer data domain

Job Requirements:

• Bachelor's degree in computer science or related field
• 6-8 years of experience technology related work
• In-depth knowledge of SQL, SAS, R, and Python programming languages, and extensive hands-on data engineering experience. Experience with SparkR, Hadoop, Tableau, and graph databases is helpful.
• Experience with Databricks and Snowflake
• Capable of authoring robust, high quality, reusable code and contributing to the division's inventory of libraries
• Expertise in big data batch computing tools, with demonstrated experience developing distributed data processing solutions
• Applied knowledge of cloud computing
• Applied knowledge of data modeling principles (e.g. dimensional modeling and star schemas)
• Strong understanding of database internals, such as indexes, binary logging, and transactions
• Experience with software engineering tools and workflows (e.g. Jenkins, CI/CD, git)
• Practical experience consuming web services
• Solid data understanding and business acumen in the data rich industries like insurance or financial

#LI-CH

CUNA Mutual Group’s insurance, retirement and investment products provide financial security and protection to credit unions and their members worldwide. As a dynamic and growing company, we strive to create a culture of performance, high standards and defined values. In return for your skills and contributions, we offer highly competitive compensation and benefit packages, significant professional growth, and the opportunity to win and be rewarded.

Please provide your Work Experience and Education or attach a copy of your resume. Applications received without this information may be removed from consideration.