Wilmington, MA

Data Jobs in Wilmington, MA

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Today

Senior Data Engineer

UniFirst Wilmington, MA

Wilmington, MA

Today

$109k - $152k/yr Full time Senior Analytics Azure

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Job Description

UniFirst is hiring a Senior Data Engineer for an onsite role in Wilmington, Massachusetts. In this position, you will design and maintain enterprise data warehouses, lakehouses, and data pipelines, with a focus on reliability, performance, quality, security, and delivering trusted data for reporting, analytics, and business operations.

As part of the data engineering team, you will build database structures and integration workflows across Microsoft SQL Server and Azure, and support Microsoft Fabric solutions using Fabric Warehouse, Lakehouse, and OneLake. The work also includes governance and compliance alignment, along with collaboration across developers, analysts, and IT stakeholders.

What you’ll do

Design, implement, and maintain database structures and dimensional data models, including tables, views, indexes, and schemas using Microsoft SQL Server, Azure SQL, and Microsoft Fabric Warehouse and Lakehouse.
Build complex SQL queries and create stored procedures, functions, and triggers to support application development and data processing.
Improve database performance using indexing, query optimization, and other performance tuning techniques.
Develop ETL and ELT processes using SQL Server Integration Services (SSIS), Azure Data Factory, and Microsoft Fabric Data Factory pipelines and notebooks to ingest and transform data from multiple sources.
Maintain data quality, consistency, and integrity across systems and environments.
Monitor and troubleshoot data pipelines, implementing logging and error handling to ensure timely, accurate processing.
Analyze and rewrite complex SQL to improve execution time, reduce resource consumption, and support maintainability.
Collaborate with developers to optimize queries embedded within applications.
Design and maintain cloud data solutions using Azure SQL Database, Azure Data Lake Storage, and Microsoft Fabric OneLake, Lakehouse, and Warehouse.
Develop and maintain data integration solutions connecting SQL Server, Azure data services, and Microsoft Fabric, including incremental loads and bronze, silver, and gold layers.
Apply best practices for Azure and Microsoft Fabric, including workspace organization, access controls, monitoring, and performance and cost optimization.
Provide database-related technical support and troubleshooting.
Mentor and guide junior data engineers and other team members.
Create and maintain comprehensive documentation for database designs, processes, and procedures.
Ensure compliance with data governance, security policies, and industry regulations.

What you’ll need

Minimum 9 years of experience in data engineering and database development with a focus on Microsoft technologies.
Proven experience with Microsoft SQL Server and T-SQL, SSIS, Azure data services, and Microsoft Fabric, with familiarity with SSRS and Power BI.
Expertise with Azure data services and Microsoft Fabric for enterprise data warehousing and lakehouse solutions.
Experience with Microsoft Fabric medallion architecture, Delta tables, incremental processing, and pipeline orchestration.
Knowledge of data modeling and database design principles.
Familiarity with Azure Synapse Analytics, Microsoft Purview, and Git-based version control and CI/CD for data solutions.
Strong analytical and problem-solving skills, along with excellent communication and teamwork abilities.
Ability to work independently and manage multiple tasks and projects at the same time.
Detail-oriented approach focused on quality and accuracy.
Bachelor’s degree in computer science, Information Technology, or a related field (Master’s degree preferred).

Compensation and location

Location: Wilmington, MA (onsite)
Salary: USD 109,000 - 152,000 per year
Job ID: 2605390

Key technologies

Microsoft SQL Server, Microsoft Fabric, Azure data services
Microsoft Fabric Warehouse, Microsoft Fabric Lakehouse, Azure SQL
T-SQL, SQL Server Integration Services (SSIS), Azure Data Factory
Microsoft Fabric Data Factory
Azure SQL Database, Azure Data Lake Storage
Microsoft Fabric OneLake, Incremental loads, bronze/silver/gold data layers
SSRS, Power BI
Microsoft Fabric medallion architecture, Delta tables, pipeline orchestration
Azure Synapse Analytics, Microsoft Purview
Git, CI/CD
Stored procedures, functions, triggers, dimensional data models

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4d ago

Junior Azure Data Engineer

UniFirst Wilmington, MA

Wilmington, MA

4d ago

$68k - $85k/yr Full time Analytics Azure Azure Data Engineer

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Job Description

UniFirst seeks a Junior Azure Data Engineer to help build and migrate data pipelines from a legacy warehouse to Azure Fabric Lakehouse/Warehouse.

Responsibilities

Support data-pipeline development and migration from the Legacy Data Warehouse (LDW) to Azure Fabric Lakehouse/Warehouse
Write efficient SQL queries for extraction, transformation, and validation across multiple databases including SQL Server 2022, Azure SQL MI, and Synapse
Develop and debug Python scripts for automation, file ingestion, and data-quality checks
Assist with building Fabric dataflows, pipelines, and lakehouse tables aligned with enterprise data-modeling standards
Collaborate with senior engineers on ETL design, optimization, and performance tuning
Complete unit testing, participate in peer code reviews, and maintain technical documentation in Confluence and Git
Monitor data-load processes and help resolve job failures, including Zephyr test case execution and JIRA updates
Continuously learn emerging Azure technologies (including Databricks, Fabric, and Power BI) and contribute to process-improvement initiatives

Requirements

Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field
1 to 2 years of hands-on experience with SQL (T-SQL preferred) and Python scripting
Basic understanding of data-warehousing concepts including ETL, staging, and fact/dimension modeling
Exposure to Azure services such as Data Factory, Synapse, or Fabric components
Strong curiosity, analytical mindset, and attention to detail
Enthusiasm to learn enterprise-scale systems and deliver high-quality, production-ready code

Technologies

SQL, T-SQL, Python
Azure Fabric, Azure Fabric Lakehouse, Azure Fabric Warehouse
SQL Server 2022, Azure SQL MI, Synapse
Data Factory, Fabric dataflows, lakehouse tables, ETL
Confluence, Git
Zephyr, JIRA
Databricks, Power BI

Benefits

401K with Company Match
Profit Sharing
Health Insurance
Employee Assistance Program
Life Insurance
Paid Time Off
Tuition Reimbursement
30% Employee Discount
Employee Referral Bonuses

Location

Wilmington, Massachusetts
Hybrid role with an on-site requirement in Wilmington, MA
Candidates must reside within commuting distance to the greater Boston area

Job ID: 2605317

Estimated Annual Salary Range: $68,000 to $85,000

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1mo ago

Senior Data Engineer - Robotics

Motion Recruitment Wilmington, MA

Wilmington, MA

1mo ago Closed

Full time Senior Analytics Apache Airflow

This position is no longer accepting applications (closed Sep 17, 2026).

Job Description

Motion Recruitment is hiring a Senior Data Engineer - Robotics in Wilmington, MA (onsite). In this hands-on role, you will build and scale the data platforms that power robotic operations, fleet management, analytics, machine learning initiatives, and customer reporting. You will focus on designing scalable telemetry and streaming pipelines while maintaining data quality, reliability, accessibility, and performance across real-time and batch workflows.

What you’ll build

Design and develop scalable telemetry/streaming pipelines that ingest robotic fleet data
Create data solutions for analytics, reporting, and machine learning use cases
Build and maintain data models optimized for operational and business intelligence needs
Develop real-time and batch processing workflows for robotic system data
Implement data governance, validation, and monitoring processes
Optimize storage, processing, and retrieval of large-scale operational datasets
Contribute to architectural decisions across cloud-native data platforms and services

How you’ll work with others

Partner with robotics and software engineering teams to improve data collection and data accessibility
Monitor pipeline performance and troubleshoot data quality issues
Support customer-facing analytics and operational reporting solutions

What you bring

Strong proficiency in Python and SQL
Experience building and maintaining large-scale data pipelines
Experience with cloud-based data platforms (AWS preferred)
Knowledge of ETL and ELT frameworks
Experience with data warehousing technologies
Experience processing large volumes of event-driven or streaming data
Knowledge of distributed data systems and scalable architectures
Experience with Spark, Kafka, Airflow, or similar technologies
Strong understanding of data modeling and database design
Software engineering best practices, including testing and version control

Skills and experience that help

5+ years of Data Engineering experience
Experience working with IoT, robotics, sensor, or telemetry datasets
Experience supporting machine learning or analytics teams
Familiarity with real-time data processing architectures
Knowledge of warehouse automation, logistics, or supply chain technologies
Experience with Databricks or modern cloud analytics platforms
Education: Bachelor’s degree in Computer Science, Data Engineering, Engineering, or related field
Experience working in a fast-paced startup or high-growth environment

Tools you’ll use

Python, SQL, AWS
ETL, ELT
Spark, Kafka, Airflow
Data warehousing technologies

Compensation and benefits

Bonus OR Commission eligible
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) (including match, if applicable)

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1mo ago

Senior Machine Learning Engineer

Motion Recruitment Wilmington, MA

Wilmington, MA

1mo ago Closed

Full time Senior Artificial Intelligence Data Analysis

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Motion Recruitment is hiring a Senior Machine Learning Engineer in Wilmington, MA for an onsite role focused on bringing machine learning from raw sensor data to models that run reliably on constrained hardware. This position spans the end to end ML lifecycle, including data pipelines, model development, deployment to edge, and the supporting MLOps infrastructure needed for regulatory and quality workflows.

In this role, you will work with sensor and embedded teams to train and optimize signal processing and anomaly detection models, then integrate and validate inference directly within device software. You will also help shape how sensor data is selected, validated, collected, and organized so model performance can be tracked and improved over time.

Key responsibilities

Own the full machine learning lifecycle, from raw sensor data to models running on constrained hardware.
Design and use data pipelines for sensor data.
Train, optimize, and deploy machine learning models for signal processing and anomaly detection on edge devices.
Collaborate with embedded engineers to integrate and validate inference within device software.
Build MLOps infrastructure to support regulatory and quality processes.
Participate in sensor selection and validation.
Document model development to support regulatory submissions and internal quality processes.
Develop and troubleshoot workflows for collecting, cleaning, and organizing sensor data.
Build and refine ML models for real-time device applications and performance improvements.
Work with firmware teams to embed and test AI features on hardware platforms.
Set up and oversee tools for tracking experiments, automating evaluations, and managing deployments.
Analyze model behavior, ensure reliability, and resolve issues to maintain high-quality outputs.

Required skills and experience

Python proficiency.
Hands-on experience with PyTorch or TensorFlow.
Experience deploying models to edge using TFLite, ONNX, CoreML, TensorRT, or an equivalent approach.
Experience building sensor data pipelines.
Proficiency with MLOps.
Solid software engineering fundamentals.
Proficiency in C or C++.

Desired skills and experience

5 years of machine learning engineering or applied ML.
Experience with physiological signal processing for medical or wearable applications.
Background in robotics or autonomous systems.
Experience in a startup or small team.
Degree in a relevant field.

Tools and technologies

Python, PyTorch, TensorFlow
TFLite, ONNX, CoreML, TensorRT
MLOps
C, C++

Compensation and benefits

Bonus OR Commission eligible
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) {including match - if applicable}

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Data Jobs in Wilmington, MA

Senior Data Engineer

Junior Azure Data Engineer

Senior Data Engineer - Robotics

Senior Machine Learning Engineer

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