Sr. Data Engineer Job at Boston Data Pro

New

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our team.

Location

Salary:

Not provided

Boston Data Pro

Expiration Date

Until further notice

Requirements

Data Engineering: 8 years (Preferred)
Data Programming languages: 5 years (Preferred)
Data Developers: 5 years (Preferred)

Job Responsibility

Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction
Ensures quality of technical solutions as data moves across multiple zones and environments
Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
Develops, constructs, tests, and maintains architectures
Aligns architecture with business requirements and use programming language and tools
Identifies ways to improve data reliability, efficiency, and quality
Conducts research for industry and business questions
Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
Prepares data for predictive and prescriptive modeling and find hidden patterns using data

Sr. Manager- Data Engineering

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

96404.10 - 169021.85 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field
8+ years experience in data engineering solutions such as data platforms, data ingestion, data management, or publication/analytics
3+ years leadership experience building and managing a high performing teams
2+ years experience in Google Cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows
Progressively responsible experience starting as Data Engineer and advancement in complexity, and level of responsibility
Must be highly analytical having the proven ability to develop and reverse complex engineering solutions
Critical thinking and advanced problem-solving skills are core behaviors among the team
Excellent oral/written communication and presentation skills
Experience in objectively evaluating current processes for opportunities to optimize inter departmental communication, collaboration, and end-to-end process performance

Job Responsibility

Design and build trusted, reliable and timely datasets, metrics and data pipelines that are critical to the direction of the company
Build and lead a high-performing data engineering team in a hands-on technical capacity
Be responsible for shaping how we acquire, collect and leverage data
Define and manage SLA's for all data sets and processes running in production
Work closely with Product Managers, Analysts, Data Scientists to develop and own data-driven systems
Develop data democratization layer for self-served reporting
Assist development team in troubleshooting, coding, testing, implementation, and documenting solutions
Support, grow, mentor and inspire new and existing team members
Be a key leader of the Data and Analytics team, working to propel the business towards being more data-driven
Performs other duties as assigned

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Sr Data Engineer

Resource Informatics Group, Inc. is actively seeking a skilled Senior Data Engin...

Location

United States , Irving

Salary:

Not provided

Resource Informatics Group

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields
Strong expertise in data engineering and cloud-based solutions
6+ years of experience in data engineering, architecture, and implementation of large-scale data solutions
Proficiency in designing and implementing data models, data structures, and algorithms
Advanced knowledge of SQL and NoSQL databases
Demonstrated expertise in optimizing data pipelines and improving data reliability, efficiency, and quality
Excellent problem-solving capabilities with a keen attention to detail
Strong communication and collaboration skills, with the ability to work effectively across diverse teams
Relevant certifications in cloud technologies (Azure, AWS, or GCP) advantageous
Master’s in Data Science or Computer Science or foreign equivalent, plus 6+ years of experience, OR Bachelor’s in Computer Science, Information Technology, or Electronics and Communication Engineering or foreign equivalent

Job Responsibility

Develop and execute ETL processes for data extraction, transformation, and loading into warehouses and data lakes
Architect data warehousing solutions using Azure Synapse Analytics for efficient querying and reporting
Optimize query performance, data processing speed, and resource utilization within Azure environments
Construct seamless data pipelines across Azure services utilizing Azure Data Factory, Databricks, and SQL Server Integration Services
Collaborate with stakeholders, including data scientists and analysts, to understand data requirements and deliver effective solutions
Manage large data volumes leveraging the Hadoop ecosystem for diverse source collection and loading
Design, maintain, and optimize data processing jobs using Hadoop MapReduce, Spark, and Hive, with coding in Java or Python for custom applications
Monitor job and cluster performance using tools like Ambari and custom monitoring scripts, scaling and maintaining Hadoop clusters and Azure data services
Ensure adherence to data security measures and governance standards
Integrate cross-cloud data with AWS and GCP services

Fulltime

Sr. Data Engineer I, Data Infrastructure

Khan Academy is partnering with SafeInsights to provide researchers access to st...

Location

United States , Mountain View

Salary:

137871.00 - 172339.00 USD / Year

Khan Academy

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering within a production environment
Experience with Google infrastructure services and data services particularly GCS & Big Query
Advanced knowledge of Python
Strong SQL skills
Demonstrated proficiency with Docker and Kubernetes
Experience with Airflow
Background in applied math, statistics, economics, or a related technical field
Motivated by the Khan Academy mission “to provide a free world-class education for anyone, anywhere"
Proven cross-cultural competency skills demonstrating self-awareness, awareness of other, and the ability to adopt inclusive perspectives, attitudes, and behaviors to drive inclusion and belonging throughout the organization.

Job Responsibility

Collaborate with our Data Insights Group to understand the desired end data product and the overall projects goals
Collaborate with our data architect and Data Infrastructure team to understand available data source and tooling
Propose tooling and processes that will work with extant Khan Academy systems to meet the projects goals
Build test and refine these tools and processes
Deliver the SafeInsights container and associated project deliverables
Provide documentation and training required to maintain and enhance the above

What we offer

Competitive salaries
Ample paid time off as needed
Remote-first culture
Generous parental leave
An exceptional team
The chance to put your talents towards a deeply meaningful mission
Opportunities to connect through affinity, ally, and social groups
401(k) + 4% matching
Comprehensive insurance, including medical, dental, vision, and life

Fulltime

Sr Data Engineer

(Locals or Nearby resources only). You will work with technologies that include ...

Location

United States , Glendale

Salary:

Not provided

Enormous Enterprise

Expiration Date

Until further notice

Requirements

7+ years of data engineering experience developing large data pipelines
Proficiency in at least one major programming language (e.g. Python, Java, Scala)
Hands-on production environment experience with distributed processing systems such as Spark
Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query)
Experience in developing APIs with GraphQL
Advance understanding of OLTP vs OLAP environments
Candidates must work W2, no Corp 2 Corp
US Citizen, Green Card Holder, H4-EAD, TN-Visa
Airflow

Job Responsibility

Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
Build and maintain APIs to expose data to downstream applications
Develop real-time streaming data pipelines
Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)

What we offer

3 levels of medical insurance for you and your family
Dental insurance for you and your family
401k
Overtime
Sick leave policy: accrue 1 hour for every 30 hours worked up to 48 hours

Sr. Data Engineer

We are looking for a Sr. Data Engineer to join our growing Quality Engineering t...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience)
5+ years of experience in data engineering, data warehousing, or data architecture
Expert-level experience with Snowflake, including data modeling, performance tuning, security, and migration from legacy platforms
Hands-on experience with Azure Data Factory (ADF) for building, orchestrating, and optimizing data pipelines
Strong experience with Informatica (PowerCenter and/or IICS) for ETL/ELT development, workflow management, and performance optimization
Deep knowledge of data modeling techniques (dimensional, tabular, and modern cloud-native patterns)
Proven ability to translate business requirements into scalable, high-performance data solutions
Experience designing and supporting end-to-end data pipelines across cloud and hybrid architectures
Strong proficiency in SQL and experience optimizing large-scale analytic workloads
Experience working within SDLC frameworks, CI/CD practices, and version control

Job Responsibility

Ability to collect and understand business requirements and translate those requirements into data models, integration strategies, and implementation plans
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake, ensuring functionality, performance and data integrity
Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse
Optimize and troubleshoot ETL/ELT workflows, applying best practices for scheduling, orchestration, and performance tuning
Maintain documentation, architecture diagrams, and migration plans to support knowledge transfer and project tracking

What we offer

PTO Policy
Eligibility for Health Benefits
Retirement Plan
Work from Home

Fulltime

Sr. Data Engineer - Snowflake

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team ...

Location

Salary:

Not provided

Data Ideology

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, data warehousing, or data architecture
3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.)
Strong SQL and Python skills, with production experience using dbt
Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.)
Prior experience in a consulting or client-facing delivery role
Excellent communication skills, with the ability to collaborate across technical and business stakeholders
SnowPro Core Certification required (or willingness to obtain upon hire)
advanced Snowflake certifications preferred

Job Responsibility

Design and build scalable, secure, and cost-effective data solutions in Snowflake
Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services
Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans
Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs)
Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management
Lead modernization and migration initiatives to move clients from legacy systems into Snowflake
Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks
Contribute to internal accelerators, frameworks, and proofs of concept
Mentor junior engineers and support knowledge sharing across the team

What we offer

Flexible Time Off Policy
Eligibility for Health Benefits
Retirement Plan with Company Match
Training and Certification Reimbursement
Utilization Based Incentive Program
Commission Incentive Program
Referral Bonuses
Work from Home

Fulltime

Sr Engineer, Data

The Sr Data Engineer designs and develops data architectures in on-premise, clou...

Location

United States , Overland Park

Salary:

105100.00 - 189600.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Engineering, Computer Science, a related subject area or equivalent experience
5+ years developing cloud solutions using data series
experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud)
Hands-on development using and migrating data to cloud platforms
Experience in SQL, NoSQL, and/or relational database design and development
Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go

Job Responsibility

Develop data engineering solutions, including data pipelines, visualization and analytical tools
Design and develop data architectures in on-premise, cloud and hybrid platforms
Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights
Actively contribute to the team’s knowledge and drive new capabilities forward
Mentor other team members in their efforts to build data engineering skillsets
Assist team management in defining projects, including helping estimate, plan and scope work
Prepare and contribute to presentations required by management

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
Paid parental and family leave

Fulltime

Sr. Data Engineer

Boston Data Pro

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 27, 2025

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