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5 jobs found

Today

Senior Data Engineer

Brooksource New York, NY 🇺🇸 Remote

New York, NY

Today

$65 - $85/hr Full time Senior Analytics API

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Job Description

Brooksource is seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and architectures that support advanced analytics and business intelligence. This role centers on building robust data frameworks using big data technologies and cloud platforms, with an emphasis on data modeling and reliable data delivery across the organization.

Responsibilities

Architect and optimize enterprise-grade ETL pipelines using Informatica, Talend, Apache Spark, and Apache Hive
Design and maintain scalable data architectures on AWS, Azure Data Lake, and other public cloud environments
Partner with cross-functional teams to capture requirements and translate them into scalable data solutions
Create and implement dimensional data models for data warehousing and analytics
Oversee data integration workflows involving linked data, RESTful APIs, and external sources
Ensure data quality, security, and compliance throughout the data lifecycle
Enable machine learning model deployment by integrating data pipelines efficiently
Leverage SQL, Python, Java, and Bash/Shell scripting to automate and optimize processes
Participate in agile ceremonies and pursue continuous improvement within sprint cycles
Document data workflows and architecture diagrams to support transparency and knowledge sharing

Requirements

Demonstrated experience as a Data Engineer or similar role with emphasis on big data systems and cloud architectures
Deep knowledge of AWS services (S3, Redshift, Glue), Azure Data Lake, Hadoop ecosystem components, and other public cloud offerings
Strong proficiency in SQL databases including Microsoft SQL Server, Oracle, and cloud-native databases
Hands-on ETL/ELT development with tools like Informatica or Talend
Expertise in data modeling techniques, including dimensional modeling for enterprise data warehouses
Proficiency in programming and scripting languages such as Python, Java, VBA, Bash scripting
Experience with business intelligence tools like Looker or similar platforms for reporting and analysis
Understanding of RESTful API integration for linked data access
Analytical capabilities related to database design, query management, model training, and analytics methodologies
Experience working in Agile environments to deliver iterative value in fast-paced settings

Technologies

Informatica
Talend
Apache Spark
Apache Hive
AWS
Azure Data Lake
Hadoop
S3
Redshift
Glue
Microsoft SQL Server
Oracle
SQL
Python
Java
VBA
Bash scripting
Shell Scripting
Looker
RESTful API

Compensation

Pay: $65.00 - $85.00 per hour

Location

New York, NY (Remote)

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1mo ago

Data Analytics Engineer

MPR Management LLC Flint, MI

Flint, MI

1mo ago Closed

$65k - $95k/yr Full time Ai Ml Analytical Skills Analytics

This position is no longer accepting applications (closed Jul 13, 2026).

Job Description

Benefits and culture

Join a data-driven team that values practical analytics and collaboration. This hybrid role in Flint, Michigan offers a comprehensive benefits package and a work environment that supports growth and flexible scheduling.

Dental insurance
Health insurance
Flexible schedule
Paid time off
Parental leave
Retirement plan
Tuition reimbursement

Overview

In this Data Analytics Engineer position, you will apply big data technologies, cloud platforms, and advanced analytics to convert complex data into actionable insights. The role emphasizes forecasting, optimization, and data driven decision making to improve operations and customer experiences.

Responsibilities

Design and implement multivariate regression and nonlinear time-series models, such as ARIMA or Bayesian forecasting, to generate sales forecasts across regional markets from historical retail data.
Apply unsupervised machine learning techniques, including clustering and dimensionality reduction, to analyze transactional datasets, uncover operational inefficiencies, and differentiate regional performance patterns.
Use feature engineering and feature selection techniques to improve predictive model accuracy and scalability across enterprise datasets.
Compare, evaluate, and validate statistical models using metrics such as RMSE, AUC, precision-recall, loss functions, and explained variance to ensure robust predictions.
Develop mathematical objective functions and constrained optimization methods to automate dynamic pricing strategies and inventory management, maximizing retail profitability through data-driven decisions.
Integrate diverse retail technology systems by designing data-transfer and transformation pipelines to create an efficient data-analysis environment. Utilize ETL, ELT, and streaming data integration approaches as appropriate for flexible, scalable, and real-time data movement across platforms.
Develop advanced SQL-based analytical expressions and recursive window functions to extract real-time KPIs from enterprise repositories.
Design fast, efficient backend systems and data structures that support up-to-the-moment visual displays for stakeholder visibility.
Implement automated data verification processes, along with checksum-based quality assurance cycles, to ensure accuracy and integrity of ingested datasets in dynamic management settings.
Develop detailed technical specifications, including ERDs and data lineage maps, to foster unified SDLC practices across the organization’s retail operations.

Requirements

Proven experience with cloud platforms such as AWS or Azure for data storage and processing.
Strong programming skills in Java for automation and custom solutions.
Strong programming skills in Python for automation and custom solutions.
Strong programming skills in Bash (Unix shell) for automation and custom solutions.
Strong programming skills in VBA for automation and custom solutions.
Hands-on experience with big data frameworks including Hadoop, Spark, and Hive.
Expertise in database design principles for OLTP such as Oracle or SQL Server and OLAP such as data warehouses.
Familiarity with ETL tools like Talend or Informatica for efficient data integration workflows.
Knowledge of Linked Data principles for connecting disparate datasets across platforms.
Demonstrated ability to analyze complex datasets with excellent analysis skills to identify trends and insights.
Experience working within Agile teams to deliver iterative solutions rapidly while maintaining high quality standards.

Technologies

AWS
Azure
Java
Python
Bash (Unix shell)
VBA
Hadoop
Spark
Hive
Oracle
SQL Server
Talend
Informatica
Azure Data Lake
SQL

Compensation

Salary: USD 65,000 - 95,000 per year

Location

Location: Flint, MI (hybrid)

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1mo ago

Data Engineer (Senior / Mid-Level) – ETL / Cloud / AWS – Top Secret Clearance

VISUAL SOFT, INC Huntsville, AL

Huntsville, AL

1mo ago Closed

Full time Senior AWS Aws Glue

This position is no longer accepting applications (closed Jul 13, 2026).

Job Description

The Data Engineer role focuses on ETL, cloud-based data integration, and data migration, with onsite responsibilities in Huntsville, AL, and an active Top Secret clearance required.

Responsibilities

Design, develop, and maintain ETL workflows to extract, transform, and load large-scale structured and unstructured datasets.
Develop data migration solutions between legacy and modern systems using SQL, Java, and cloud-native tools.
Implement data integration frameworks leveraging AWS services such as Glue, Lambda, S3, RDS, Redshift, and Kinesis.
Develop automation scripts using Python, Shell, or Bash for deployment, data validation, and maintenance tasks.
Maintain and enhance data pipelines for real-time and batch data processing.
Support data quality, metadata management, and governance activities.
Participate in Agile/Scrum sprints, contributing to design, code reviews, testing, and documentation.
Troubleshoot and resolve data-related issues across on-premises and AWS environments.

Requirements

5+ years of experience in data engineering or database development for mid-level roles, or 8+ years for senior roles.
Strong hands-on experience with ETL tools such as Informatica, Talend, Pentaho, AWS Glue, or custom Java ETL frameworks.
Proficiency in SQL and at least one major RDBMS such as Oracle or PostgreSQL.
Experience with data migration projects and data quality validation.
Proficient in Java or Python for data processing and automation.
Experience with cloud technologies, preferably AWS (RDS, S3, Lambda, Redshift, Glue).
Working knowledge of Linux/Unix environments and shell scripting.
Experience in an Agile/Scrum development environment.
Excellent problem-solving, analytical, and communication skills.

Technologies

AWS Glue, AWS Lambda, AWS S3, AWS RDS, AWS Redshift, AWS Kinesis
Java, Python, SQL
Oracle, PostgreSQL, MongoDB
Informatica, Talend, Pentaho
Linux, Unix, Shell scripting

Benefits

3 weeks of Paid time off (PTO) including sick leave
2 floating holidays
8 public holidays
50% employer-paid health and dental insurance for all full-time employees; dependents at extra cost
Health and dental coverage becomes effective after 30 days or first of the month after initial 30 working days; 50% coverage for the employee
Short-Term Disability (STD), Long-Term Disability (LTD) and a one-time salary equivalent of life insurance at no cost to all full-time employees
401k with company match of 4% after 90 days; immediate vesting
Profit sharing for all W-2 employees; no employee contributions required

Location

Huntsville, Alabama (100% Onsite)

Clearance Required

Active Top Secret Clearance (U.S. Citizenship Required)

Employment Type

Full-Time / Permanent/1099 Consultant

Education

Bachelor’s Degree (B.S.) in Computer Science, Information Systems, Engineering, or related field

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1mo ago

Data Engineer

[email protected] Burlington, VT

Burlington, VT

1mo ago Closed

$115k - $138k/yr Full time Analytics Big Data Bigdata

This position is no longer accepting applications (closed Jul 9, 2026).

Job Description

Based in Burlington, Vermont, this onsite data engineering role centers on designing, building, and maintaining scalable data pipelines and architectures that support data-driven decision making. The position requires the ability to obtain a security clearance.

Overview

We are seeking a data engineer to join our team and play a central role in turning data into actionable insights. You will design, build, and maintain scalable pipelines and architectures that enable large-scale analytics, integrate diverse data sources, and optimize data workflows to support advanced analytics initiatives. This role suits professionals who thrive in fast-paced environments and are passionate about data.

Responsibilities

Design, implement, and optimize reliable ETL pipelines to facilitate smooth data movement across systems using Informatica, Talend, and shell scripting.
Create and maintain scalable data warehouses and data lakes on platforms such as Azure Data Lake and Hadoop ecosystems to support wide-scale analytics.
Develop and manage complex SQL databases including Microsoft SQL Server and Oracle, ensuring performance, security, and reliability.
Collaborate with cross-functional teams to translate data requirements into technical solutions using Python, Java, Bash (Unix shell), and RESTful APIs.
Leverage big data technologies like Apache Hive, Spark, and Hadoop to process large datasets efficiently while upholding data quality and consistency.
Integrate linked data sources to enrich datasets for comprehensive analysis and use Looker for visualization and reporting.
Support model training and analysis activities by delivering clean, well-structured datasets and contribute to iterative improvements of data models through testing.
Participate in Agile development cycles to deliver high-quality solutions swiftly and document processes for ongoing maintenance.

Requirements

Eligibility to obtain a security clearance is required.
Proven experience designing and implementing large-scale data pipelines with AWS services such as AWS Glue or S3; familiarity with Azure Data Lake is a plus.
Strong programming skills in Python, Java, VBA, Bash (Unix shell), or Shell Scripting for automation and customization tasks.
Extensive knowledge of SQL databases including Microsoft SQL Server, Oracle, and experience with Data Warehouse concepts.
Hands-on experience with big data frameworks such as Hadoop ecosystem components (HDFS, Hive), Spark, and related tools.
Proficiency with ETL tools like Talend or Informatica; understanding of RESTful API integration for data exchange.
Familiarity with analytics platforms such as Looker for creating dashboards and reports that drive business insights.
Ability to design efficient database schemas and optimize query performance; strong analytical skills to interpret complex datasets.
Knowledge of model training techniques for predictive analytics; experience within Agile development methodologies is preferred.

Technologies

Informatica
Talend
Shell Scripting
Azure Data Lake
Hadoop
HDFS
Hive
Spark
Microsoft SQL Server
Oracle
Python
Java
VBA
Bash (Unix shell)
RESTful APIs
Looker
AWS Glue
S3
AWS

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Tuition reimbursement
Vision insurance

Pay

USD 114,880.73 - 138,350.98 per year

Work Location

Burlington, VT (onsite)

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2mo ago

Senior Data Engineer

First Help Financial Needham, MA 🇺🇸 Remote

Needham, MA

2mo ago Closed

$60k - $90k/yr Full time Senior Cloud Cloud Platform

This position is no longer accepting applications (closed Jun 22, 2026).

Job Description

Senior Data Engineer role at First Help Financial, remote across the US, focused on leading data engineering delivery, governance, and analytics support using Snowflake and Sigma.

Responsibilities

Lead the data engineering program to deliver reliable, scalable pipelines that leverage Snowflake, Sigma, and related tools to enable complex analytics and self-service reporting.
Drive integration with key tools and services across the broader data warehousing ecosystem.
Optimize performance across the data stack by tuning execution parameters and applying best-practice strategies to maximize efficiency and throughput.
Establish and evolve a data governance operating model covering data quality, lineage, metadata management, stewardship, cataloging, and lifecycle management.
Perform in-depth code-level analysis and resource profiling to identify root causes and mitigate systemic issues, ensuring stability of high-scale production workloads.
Coordinate with internal stakeholders to ensure effective communication, issue resolution, and on-time delivery of projects.
Participate in weekend and weekday on-call rotation.

Requirements

8+ years of experience designing, building, testing, and maintaining data pipelines and data platforms.
5 years of hands-on experience as a technical lead on a Data Engineering team, serving as the go-to person for critical issues.
Expertise in SQL databases or data warehouses (Oracle, SQL Server, MySQL, Postgres, and AWS RDS).
ETL technologies (Rivery, Informatica, DataStage, Talend, Fivetran).
Strong knowledge of data architecture, distributed processing, data modeling, and platform reliability engineering.
Hands-on experience with modern data warehouse and cloud data platform architectures including AWS and Snowflake.
Experience establishing and operating enterprise data governance capabilities, including data quality, lineage, metadata, and stewardship practices.
Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks is a plus.
Working experience in financial services, especially auto finance and lending, is preferred.
Proven ability to influence cross-functionally with internal stakeholders or engineering teams.
Expert level knowledge in Python is desired.
Self-motivated and proactive, with a strong ability to identify issues and challenge the status quo.
Degree in Computer Science or related field/experience.

Technologies

Snowflake
Sigma
Rivery
Informatica
DataStage
Talend
Fivetran
AWS
Postgres
Oracle
SQL Server
MySQL
AWS RDS
Python
SQL

Benefits

Competitive salary framework with opportunities for growth, social activities, monthly team lunches, and a strong employee recognition and development program.
Culture that supports work-life balance and values time for family, friends, and personal well-being.
Clear growth trajectory aligned with company expansion, with career planning and ongoing investment in individual development.

Location

Location: Needham, MA (remote). Remote/US-based.

Compensation

Salary: USD 60,000 - 90,000 per year. Total compensation: USD 125,000+ depending on experience plus a bonus.

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