Intermediate Data Engineer (Cloud Data)

Location: Hybrid office environment, three days per week on Tuesdays, Wednesdays, and Thursdays, in Cedar Rapids, Iowa or Denver, Colorado, United States. Occasional travel under 10%. Applicants must be authorized to work for any employer in the U.S.; visa sponsorship is not available. Relocation assistance will not be provided.

Salary: $77,000–$95,000 annually, plus potential eligibility for an annual bonus.

Company

hirify.global is a financial services company providing insurance, retirement, investment, and related financial solutions as part of the Aegon group.

What you will do

• 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 scalable data pipeline frameworks for structured and unstructured batch and real-time streaming data.
• Build data APIs and delivery services for operational processes, analytical models, and machine learning applications.
• Assist with selecting and integrating data tools, frameworks, and applications.
• Implement enterprise data management practices covering master data, reference data, metadata, data quality, and lineage.

Requirements

• Bachelor’s degree in computer science, mathematics, engineering, or a relevant technical field.
• Two years of collective experience across 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 and one year developing and supporting large-scale distributed applications.
• One year of experience with Linux operations and development, 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 approach, strong customer focus, teamwork, ability to prioritize and meet tight deadlines, and ability to learn new technologies quickly.

Nice to have

• Master’s degree in a technical field.
• Two years of experience developing and integrating REST APIs with backend data processing workflows using AWS services.
• Experience with Snowflake, data integration, and ETL development.
• Understanding of big data, real-time streaming analytics, and data warehousing architecture, including source-to-target mappings and ETL.
• Experience with advanced analytics, machine learning implementations, data analysis, and data visualization tools.
• Relevant AWS, Microsoft, or other technology/platform certification.
• Software development experience with Java, Python, Scala, or Node.

Culture & Benefits

• Collaborative, inclusive environment focused on accountability, innovation, professional development, and work-life balance.
• Benefits may include competitive pay, annual bonus eligibility, pension plan, 401(k) match, employee stock purchase plan, insurance coverage, and employee discounts.
• Paid time off starts at 160 hours annually in the first year, with ten paid holidays per year.
• Tuition reimbursement, career training, parental and adoption assistance, wellness programs, and employee assistance are available to eligible employees.
• Employee resource groups, inclusion and diversity programs, volunteer PTO, matching gifts, and recognition programs are offered.