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Associate Data Engineer – Tech Catalyst Program
The Hartford. Contribute to modern data engineering teams .
Posted 9/15/2026full-timeHartford • Connecticut • United StatesJuniorMid-Level💰 $74,000 - $111,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data pipelines and products, with a strong foundation in ETL/ELT processes and cloud-native platforms like AWS and GCP. Proficient in collaborating with cross-functional teams to deliver data-driven solutions and insights while adhering to data quality and governance standards.
Highest-signal resume keywords
Data Pipeline DevelopmentETL/ELT ProcessesCloud Platforms (AWS, GCP)SQL and Relational DatabasesMachine Learning Exposure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonJavaRData ModelingETLData AnalysisData WarehousingAPIsMachine Learning
Soft Skills
CollaborationCommunicationProblem-SolvingInclusivityAdaptability
Tools & Technologies
SnowflakeBigQueryHadoopSparkGoogle VertexData Pipeline Orchestration ToolsBusiness Intelligence Tools
Industry Keywords
Data EngineeringData AnalyticsData ScienceAI CapabilitiesData EthicsGovernance PracticesCloud Environments
Tech Stack
Tools & technologiesAWSAzureBigQueryCloudETLGoogle Cloud PlatformHadoopJavaPythonSparkSQL
About the role
Key responsibilities & impact- Contribute to modern data engineering teams
- Design, build, and maintain scalable data pipelines and data products
- Develop ETL/ELT processes to ingest, transform, and curate structured and unstructured data
- Ensure data quality, reliability, and performance across data solutions
- Partner with data analysts, data scientists, and product teams to deliver business value
- Develop solutions using cloud-native data platforms, including AWS and GCP exposure for AI capabilities
- Work with Snowflake, BigQuery, and cloud storage solutions
- Support data platform engineering, automation, and pipeline orchestration
- Contribute to data modernization initiatives, including migration to cloud environments
- Prepare and optimize data for AI/ML models
- Apply foundational machine learning workflows and supporting data pipelines
- Leverage AI-assisted tools, including Google Vertex, to enhance productivity and data solutions
- Build awareness of responsible AI, data ethics, and governance practices
- Collaborate with data scientists to operationalize machine learning solutions
- Translate business and analytical needs into scalable data solutions
- Communicate insights and technical concepts to diverse audiences
- Contribute to inclusive, collaborative, product-focused team environments
- Complete a 10-week immersive onboarding and technical training experience
- Join Agile, product-aligned teams supporting enterprise data solutions
Requirements
What you’ll need- Bachelor’s degree (expected graduation: May 2027) in Computer Science, Data Engineering, Data Analytics, Information Technology, Engineering, or related field
- Minimum GPA of 3.0 at time of graduation
- Authorization to work in the U.S. without sponsorship now or in the future
- Foundational experience with SQL and relational databases
- At least one programming language: Python, Java, or R
- Understanding of data structures, data modeling, and ETL/ELT concepts
- Exposure to data pipelines, data analysis, or data engineering concepts
- Experience with cloud platforms; AWS preferred, GCP or Azure helpful
- Familiarity with data warehousing and big data tools such as Snowflake, Hadoop, and Spark
- Exposure to data pipeline and orchestration tools
- Experience with APIs or distributed data systems
- Exposure to machine learning, data science, or AI-related coursework or projects
- Familiarity with business intelligence or analytics tools
Benefits
Comp & perks- 10-week immersive onboarding and technical training experience
- Continued capability-building focused on modern data engineering, cloud, and AI
- Mentorship, coaching, and peer learning designed to accelerate development
- Opportunities to build a strong internal network and long-term career path
- Short-term or annual bonuses
- Long-term incentives
- On-the-spot recognition
- Perks & Benefits