

Jobs via Dice
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with over 5 years of experience in data engineering, strong SQL, and Python skills. It is a hybrid position in Newton, MA, with a contract duration of more than 6 months and competitive pay.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
February 1, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Newton, MA
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🧠 - Skills detailed
#Data Layers #SQL (Structured Query Language) #Snowflake #Redshift #"ETL (Extract #Transform #Load)" #Python #Data Governance #Cloud #Spark (Apache Spark) #Data Ingestion #BI (Business Intelligence) #dbt (data build tool) #Scala #Observability #Databricks #ML (Machine Learning) #Storage #Consulting #BigQuery #Data Modeling #AI (Artificial Intelligence) #Data Engineering #Batch #Data Quality #Base #Airflow #Datasets #Monitoring #Data Warehouse #Data Processing
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Motion Recruitment Partners, LLC, is seeking the following. Apply via Dice today!
Job Description
Our client, a global technology consulting services firm, is hiring for a Senior Data Engineer. The organization builds large scale data platforms, analytics systems, and AI ready infrastructure for enterprise customers across industries such as healthcare, financial services, and digital products.
This role is hybrid in Newton, MA.
Required Skills And Experience
5 plus years of professional experience in data engineering or data platform development
Strong SQL and advanced data modeling skills
Proficiency in Python or another language commonly used for data processing
Experience building and maintaining complex ETL or ELT pipelines
Hands on experience with cloud data platforms and storage systems
Experience with data warehouses or lakehouse architectures
Understanding of data quality, validation, and testing practices
Ability to design efficient, production ready data workflows
Experience reviewing and guiding technical design decisions
Comfortable working with cross functional technical teams
Desired Skills And Experience
Experience with workflow orchestration tools such as Airflow or similar schedulers
Experience with transformation frameworks such as dbt or equivalent tooling
Familiarity with distributed processing frameworks such as Spark
Experience with Snowflake, BigQuery, Redshift, Databricks, or similar platforms
Exposure to analytics, BI, or machine learning data preparation workflows
Experience implementing data governance and access controls
Performance tuning and query optimization experience
Consulting or client facing project experience
What You Will Be Doing
Design and implement scalable data ingestion and transformation pipelines
Build and maintain data warehouses, lakes, and analytics data layers
Improve reliability, observability, and performance of existing pipelines
Partner with analytics and application teams to define data structures and contracts
Implement data quality checks and monitoring
Optimize storage layouts and query patterns for large datasets
Document data flows and architectural decisions
Support production data systems and troubleshoot issues
Tech Breakdown
Cloud data platforms and managed storage systems
Modern data warehouses and lakehouse technologies
Batch and near real time pipeline frameworks
Orchestration and scheduling tools
SQL and Python based data processing
Daily Responsibilities
Majority hands on pipeline and platform development
Regular collaboration with engineering and analytics teams
Architecture and design input on new data systems
The Offer
Competitive base salary with potential bonus eligibility
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off PTO
401k with company match if applicable
Applicants must be currently authorized to work in the US on a full time basis now and in the future.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Motion Recruitment Partners, LLC, is seeking the following. Apply via Dice today!
Job Description
Our client, a global technology consulting services firm, is hiring for a Senior Data Engineer. The organization builds large scale data platforms, analytics systems, and AI ready infrastructure for enterprise customers across industries such as healthcare, financial services, and digital products.
This role is hybrid in Newton, MA.
Required Skills And Experience
5 plus years of professional experience in data engineering or data platform development
Strong SQL and advanced data modeling skills
Proficiency in Python or another language commonly used for data processing
Experience building and maintaining complex ETL or ELT pipelines
Hands on experience with cloud data platforms and storage systems
Experience with data warehouses or lakehouse architectures
Understanding of data quality, validation, and testing practices
Ability to design efficient, production ready data workflows
Experience reviewing and guiding technical design decisions
Comfortable working with cross functional technical teams
Desired Skills And Experience
Experience with workflow orchestration tools such as Airflow or similar schedulers
Experience with transformation frameworks such as dbt or equivalent tooling
Familiarity with distributed processing frameworks such as Spark
Experience with Snowflake, BigQuery, Redshift, Databricks, or similar platforms
Exposure to analytics, BI, or machine learning data preparation workflows
Experience implementing data governance and access controls
Performance tuning and query optimization experience
Consulting or client facing project experience
What You Will Be Doing
Design and implement scalable data ingestion and transformation pipelines
Build and maintain data warehouses, lakes, and analytics data layers
Improve reliability, observability, and performance of existing pipelines
Partner with analytics and application teams to define data structures and contracts
Implement data quality checks and monitoring
Optimize storage layouts and query patterns for large datasets
Document data flows and architectural decisions
Support production data systems and troubleshoot issues
Tech Breakdown
Cloud data platforms and managed storage systems
Modern data warehouses and lakehouse technologies
Batch and near real time pipeline frameworks
Orchestration and scheduling tools
SQL and Python based data processing
Daily Responsibilities
Majority hands on pipeline and platform development
Regular collaboration with engineering and analytics teams
Architecture and design input on new data systems
The Offer
Competitive base salary with potential bonus eligibility
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off PTO
401k with company match if applicable
Applicants must be currently authorized to work in the US on a full time basis now and in the future.





