Senior Data Engineer

Landing Point; Wakefield (MA); Hybrid; USD 110,000 - 130,000; Full time

Job summary

Landing Point is seeking a Senior Data Engineer to design and evolve end-to-end data pipelines and data platforms. You will own production data systems, monitor incidents, and translate business requirements into scalable architectures.

The role focuses on modernizing legacy data processes toward secure, cloud-based solutions, with mentoring of junior engineers and collaboration across stakeholders. Requirements include 4+ years in data engineering, advanced SQL, Python, and cloud experience

Qualifications

• 4+ years of professional data engineering or related experience.
• Advanced SQL with complex joins, transformations, and validation.
• Python or equivalent language for data processing and automation.
• Experience with AWS or major cloud platforms and data storage concepts.
• Experience with data quality checks, observability, and governance.
• Hybrid work environment with one day in the office, US work authorization.

Responsibilities

• Lead the design, development, and evolution of end-to-end data pipelines and platform capabilities.
• Own production data systems; monitor, incident response, and continuous improvement.
• Translate business and technical requirements into architecture and deliverables.
• Design scalable ETL/ELT workflows and ensure data delivery from sources.
• Define and improve standards for data quality, testing, and governance.
• Review architecture, PRs, and changes to improve reliability and performance.
• Lead modernization of legacy data processes to secure, automated solutions.
• Mentor junior and mid-level engineers through pairing and code reviews.
• Evaluate emerging technologies to support long-term data strategy.

Skills

SQL proficiency

Python programming

Data pipeline design

Cloud data platforms

Data governance & quality

CI/CD practices

Infrastructure as code

Git version control

Education

Bachelor's or Master's in CS/Data/IS/Math or related

Tools

SQL

Python

AWS

Git

CI/CD

IaC

Job description

Company Overview

A leading employee benefits firm with over 35 years of experience, serving nearly 5,000 clients across the United States, is seeking a Senior Data Engineer to join their development team. This role focuses on building and integrating data pipelines and platforms to support the company's applications and business decisions.

Job Responsibilities

• Lead the design, development, and evolution of end-to-end data pipelines, integrations, data models, and platform capabilities.
• Own production data systems and contribute to their availability, monitoring, incident response, root-cause analysis, and continuous improvement.
• Translate business and technical requirements into clear architecture, implementation plans, and incremental deliverables.
• Design and implement scalable ETL/ELT workflows that ingest, transform, validate, and deliver data from various sources.
• 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 towards secure, automated, cloud-based solutions.
• Diagnose complex data, pipeline, performance, and reliability issues and drive both immediate mitigation and durable prevention.
• Optimize queries, storage, processing, and infrastructure for performance, scalability, and cost efficiency.
• Collaborate with various stakeholders to deliver trusted data solutions.
• Mentor junior and mid-level engineers through pairing, code reviews, technical guidance, documentation, and knowledge sharing.
• Evaluate emerging technologies and make recommendations that support the company's long-term data and engineering strategy.

Qualifications

• Bachelor's or Master's degree in computer science, data engineering, information systems, mathematics, or a related field—or equivalent experience.
• 4+ years of professional experience in data engineering, data platform engineering, software engineering, or a related role.
• 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.

Compensation

Salary: $110,000 - $130,000, Plus Bonus

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