Intermediate Data Engineer

Transamerica•Denver, CO

23h•Hybrid

About The Position

The Intermediate Data Engineer develops and supports systems, services, and applications for collecting, storing, processing, and analyzing data to enable data-driven decisions and outcomes across the enterprise. The role works with cloud and on-premises data infrastructure and tools, and develops scalable solutions and pipelines for structured and unstructured batch and real-time streaming data. The engineer also builds data APIs and delivery services supporting operational processes, analytics, and machine learning applications, and helps expand platform capabilities through data-related tools and frameworks. The position works collaboratively with engineers, data scientists, analytics teams, and business product owners in an agile environment. It is a hybrid role requiring three days per week in the office at a hub location in Cedar Rapids, Iowa, or Denver, Colorado. Occasional travel of less than 10% may be required. Relocation assistance is not provided.

Requirements

Bachelor’s degree in computer science, mathematics, engineering, or a relevant technical field.
Two years of collective experience applying data engineering, data analytics, data warehousing, business intelligence, database administration, and data integration concepts and methodologies.
One year of experience developing and supporting modern data architectures.
One year of experience developing and supporting large-scale distributed applications.
One year of Linux operations and development experience, including basic commands and shell scripting.
One year of experience executing DevOps methodologies and continuous integration/continuous delivery.
Knowledge of SQL for data profiling, analysis, and extraction.
Results-oriented, with a strong customer focus.
Ability to work within a team environment.
Ability to prioritize and meet tight deadlines.
Ability to learn and keep pace with technology advances, quickly grasp new technologies, and contribute to project deliverables.
Must be authorized to work for any employer in the U.S.; visa sponsorship is not available.

Nice To Haves

Master’s degree in a technical field such as computer science, mathematics, or engineering.
Two years of experience developing and integrating REST APIs with backend data processing workflows using AWS services.
Experience with the Snowflake cloud data platform, including data integration and ETL/ELT development.
Understanding of big data and real-time streaming analytics processing architectures and ecosystems.
Understanding of data warehousing architecture and implementation, including source-to-target mappings and ETL.
Experience with advanced analytics and machine learning concepts and technology implementations.
Experience with data analysis and data visualization tools.
Relevant technology or platform certification, such as AWS or Microsoft.
Software development experience in relevant programming languages such as Java, Python, Scala, or Node.js.

Responsibilities

Collaborate with engineers, data scientists, analytics teams, and business product owners in an agile environment.
Build and support cloud and on-premises enterprise data infrastructure and tools.
Design robust, reusable, and scalable data-driven solutions and pipeline frameworks to automate the ingestion, processing, and delivery of structured and unstructured batch and real-time streaming data.
Build data APIs and data delivery services for operational processes, analytical models, and machine learning applications.
Assist with selecting and integrating data-related tools, frameworks, and applications to expand platform capabilities.
Apply enterprise data management best practices, including master data, reference data, metadata, data quality, and lineage.

Benefits

Competitive pay.
Annual bonus eligibility based on the Company Bonus Plan and individual performance, at the company’s discretion.
Benefits package.
Pension plan.
401(k) match.
Employee stock purchase plan.
Tuition reimbursement.
Disability insurance.
Medical insurance.
Dental insurance.
Vision insurance.
Employee discounts.
Career training and development opportunities.
Paid time off starting at 160 hours annually for employees in their first year of service.
Ten paid holidays per year.
Holistic wellness program, including wellness coaching and reward dollars.
Paid parental leave of 15 days per calendar year for eligible employees with at least one year of service at the time of a qualifying birth or child placement.
Adoption assistance.
Employee assistance program.
Back-up care program.
Paid time off for volunteer hours.
Employee matching gifts program.
Employee resource groups.
Inclusion and diversity programs.
Employee recognition program.
Referral bonus programs.