Hybrid Data Engineer: Cloud Pipelines & Platform Lead

Sentinel Group; Wakefield (MA); Hybrid; USD 106,000 - 113,000; Full time

Benefits offered by this job

PTO

12 Paid Holidays

Medical, Dental, Vision

Retirement Plan with 4% Employer Match

Parental Leave

Job summary

Sentinel Group is seeking a Data Engineer to design, build, and maintain secure data pipelines and platforms for analytics and decision support. You will own end-to-end data solutions, collaborate with cross-functional teams, and mentor junior engineers in a hybrid Wakefield, MA environment.

The role emphasizes data quality, scalability, and secure data practices, with a focus on AWS, data modeling, and CI/CD-enabled infrastructure.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, or related field.
• 4+ years of professional data engineering experience.
• Demonstrated experience designing, building, deploying, and supporting production data pipelines.
• Advanced SQL skills, including complex joins, transformations, performance tuning, and data validation.
• Strong programming experience with Python or another language used for data processing and automation.
• Strong understanding of data modeling, relational databases, analytical warehouses, data lakes, and dimensional modeling.
• Experience with AWS or another major cloud platform, including cloud storage, compute, networking, monitoring, and access-control concepts.
• Experience implementing data quality checks, automated testing, observability, logging, alerting, and operational runbooks.
• Experience with Git, pull requests, CI/CD, infrastructure as code, and modern software development practices.
• Experience working with sensitive, confidential, regulated, or financial data and applying appropriate security controls.
• Ability to work in a hybrid work environment, with one day in the office.
• Authorized to work in the US without current or future sponsorship.

Responsibilities

• Lead end-to-end data pipelines, models, and platform capabilities.
• Own production data systems, availability and incident response.
• Develop and own a long term vision for our data landscape.
• Translate business and technical requirements into architecture, implementation plans, and incremental deliverables.
• Design and implement scalable ETL/ELT workflows that ingest, transform, validate, and deliver data from APIs, databases, files, and other systems.
• Define and improve standards for data quality, testing, documentation, lineage, observability, security, governance, and access control.
• Review architecture, technical designs, pull requests, and operational changes to identify risks and improve maintainability and performance.
• Lead the modernization of legacy data processes and move to secure, automated, cloud-based solutions that follow CI.
• Diagnose complex data, pipeline, performance, and reliability issues and drive mitigation and prevention.
• Optimize queries, storage, processing, and infrastructure for performance, scalability, and cost efficiency.
• Collaborate with Business Analysts, Data Analysts, Software Engineers, Product Owners, Security, Infrastructure, and other stakeholders to deliver trusted data solutions.
• Mentor junior and mid-level engineers through pairing, code reviews, and knowledge sharing.
• Evaluate emerging technologies and make recommendations that support Sentinel’s long-term data strategy.

Skills

Advanced SQL

Python

Data modeling

Data warehousing

ETL/ELT

Workflow orchestration

AWS

Data quality checks

Observability

Security controls

Communication

Mentoring

AI curiosity

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Mathematics, or related field

Tools

Snowflake

Docker

Kubernetes

Terraform

CloudFormation

Git

CI/CD

Infrastructure as code

Job description

Sentinel Group is seeking a Data Engineer to design, build, and maintain secure data pipelines and platforms for analytics and decision support. You will own end-to-end data solutions, collaborate with cross-functional teams, and mentor junior engineers in a hybrid Wakefield, MA environment.

The role emphasizes data quality, scalability, and secure data practices, with a focus on AWS, data modeling, and CI/CD-enabled infrastructure.