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Transamerica

Intermediate Data Engineer

Transamerica

. Develop and support systems, services, and applications for enterprise data collection, storage, processing, and analysis .

Posted 11/9/2026full-timeUnited StatesJuniorMid-Level💰 $77,000 - $95,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in developing and supporting enterprise data solutions, including data collection, storage, processing, and analysis. Proficient in implementing data management best practices and leveraging cloud technologies for scalable data infrastructure.

Highest-signal resume keywords
Data EngineeringSQLAWS ServicesDevOps MethodologiesData Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data IntegrationData AnalyticsData APIsLinux OperationsShell ScriptingETLMachine LearningBig DataData VisualizationModern Data Architectures
Soft Skills
Results OrientedCustomer FocusTeam CollaborationTime ManagementAdaptability
Tools & Technologies
SnowflakeCloud InfrastructureData Delivery ServicesAgile EnvironmentStreaming Data
Industry Keywords
Enterprise Data ManagementData QualityMetadataData LineageBusiness Intelligence

Tech Stack

Tools & technologies
AWSCloudETLJavaJavaScriptLinuxNode.jsPythonScalaShell ScriptingSnowflakeSQL

About the role

Key responsibilities & impact
  • Develop and support systems, services, and applications for enterprise data collection, storage, processing, and analysis
  • 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, scalable data solutions and pipeline frameworks
  • Automate 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 tools, frameworks, and applications
  • Implement enterprise data management best practices, including master data, reference data, metadata, data quality, and lineage

Requirements

What you’ll need
  • Bachelor’s degree in computer science, math, engineering, or relevant technical field
  • Two years of collective experience in 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 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 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 the latest technology advances and quickly grasp new technologies
  • Must be authorized to work for any employer in the U.S.; visa sponsorship is unavailable
  • Preferred: Master’s degree in a technical field
  • Preferred: experience with AWS Services, Snowflake, ETL, big data, real-time streaming analytics, data warehousing, machine learning, data visualization tools, relevant certifications, and Java, Python, Scala, or Node.js

Benefits

Comp & perks
  • Annual bonus based on the Company Bonus Plan/Individual Performance
  • Pension Plan
  • 401k Match
  • Employee Stock Purchase Plan
  • Tuition Reimbursement
  • Disability Insurance
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Employee Discounts
  • Career Training & Development Opportunities
  • Paid Time Off starting at 160 hours annually for employees in their first year of service
  • Ten (10) paid holidays per year
  • Be Well Company holistic wellness program, including Wellness Coaching and Reward Dollars
  • Fifteen (15) days of paid parental leave per calendar year for eligible employees with at least one year of service
  • Adoption Assistance
  • Employee Assistance Program
  • Back-Up Care Program
  • PTO for Volunteer Hours
  • Employee Matching Gifts Program
  • Employee Resource Groups
  • Inclusion and Diversity Programs
  • Employee Recognition Program
  • Referral Bonus Programs