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1mo ago

Data Scientist for Analytics (Engineer/Scientist Support)

CACI Norco, CA

Norco, CA

1mo ago

$70k - $143k/yr Full time Analytics Data Data Analysis

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Job Description

This Data Scientist for Analytics role provides analytics support for defense systems, combining data analysis, scripting, reporting, and cross-functional collaboration in government-led assessments, onsite in Norco, CA.

Responsibilities

Data Analysis & Interpretation: assist in analyzing data from Defense and Integrated Combat Systems training, testing, and evaluation events to identify trends in system performance; collaborate with senior analysts to interpret system data; basic radar principles related knowledge is a plus but not required.
Scripting & Automation: help develop and maintain automated scripts using MATLAB or Python to streamline data extraction, cleaning, and transformation; training and mentorship will be provided.
Technical Reporting: draft technical inputs, summaries, and visual presentations to support government-led reports and briefings.
Communication & Presentation: convey analysis inputs to government analysts and government leads.
Collaboration: work effectively with multidisciplinary teams, sharing knowledge and coordinating with government and contractor team members as directed.
Process Improvement: support refinement and documentation of data analysis workflows, documentation, and reporting processes under government direction.
Continuous Learning: proactively expand understanding of Defense and Integrated Combat System, analytical tools, and related technologies.

Requirements

Bachelor’s degree in related field.
Must be able to obtain and maintain a DoD SECRET clearance.
Willingness and ability to travel occasionally.
Ability to maintain a flexible schedule during test events and surge periods.
Capable of working in stationary positions (sitting or standing) for extended periods.
U.S. Citizen.
Willing to work on site in Norco, California.
Working knowledge of MATLAB or Python; coursework or personal projects are great.
Experience or familiarity with tool verification and validation practices.
Strong analytical and critical thinking skills.
Familiarity with core data analysis techniques and visualization tools.
Quick to learn new systems, tools, and technical domains.
Excellent written and verbal communication skills.
Strong interpersonal skills and a team-oriented mindset.

Technologies

MATLAB
Python

Benefits

Healthcare
Wellness
Financial benefits
Retirement benefits
Family support
Continuing education
Time off benefits
Flexible time off

What you can expect

A culture of integrity
An environment of trust
A focus on continuous growth

Pay range: USD 69,600 - 142,700 per year

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1mo ago

Data Engineer II (Tech Lead) - AWS, Ab Initio, Databricks, Snowflake, Teradata

The Travelers Companies, Inc. Hartford, CT

Hartford, CT

1mo ago

$127k - $209k/yr Full time Ab Initio AWS Cloud

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Job Description

The Travelers Companies, Inc. is seeking a Data Engineer II (Tech Lead) to design, build, and deploy data solutions that support AI/ML and business intelligence initiatives. This role leverages AWS, Ab Initio, Databricks, Snowflake, and Teradata to deliver scalable data platforms. This on-site position is based in Hartford, CT.

Responsibilities

Design, implement, and operationalize sophisticated data solutions; troubleshoot issues; apply transformations; and recommend data cleansing and quality improvements.
Develop intricate data architectures and pipelines.
Analyze complex data sources to assess value, determine applicability, and advise what data should be included in analytics workflows.
Embed core data management practices, emphasizing governance, security, and data quality.
Collaborate across teams to support delivery and educate end users about complex data products and analytical environments.
Conduct data and system analyses to assess, diagnose, and resolve complex defects and incidents.
Validate data movement, transformation scripts, and data components through testing.
Other duties as assigned.

Requirements

Bachelor's degree in a STEM field or equivalent.
Eight years of related experience.
Extensive experience with ETL tools such as Ab Initio and Databricks, proficiency with AWS cloud services, programming in Python and SQL, and a solid grasp of contemporary data engineering practices.
Ability to maintain a steady, predictable delivery pace, ship complete solutions in incremental releases, and identify and negotiate key tradeoffs.
Proven domain expertise with understanding of relevant technical concepts and industry trends, plus in-depth knowledge of current systems and familiarity with related systems.
Strong problem solver focused on building durable systems and devising innovative solutions to issues.
Excellent written and verbal communication, with ability to collaborate effectively with teammates and business partners.
Ability to lead team members, foster a supportive environment for learning and growth, and demonstrate self-motivation in identifying opportunities and tracking team progress.
Bachelor's degree in computer science or a related STEM field, or equivalent education and work experience.
An additional four years of data engineering experience.

Technologies

Ab Initio
Databricks
AWS
Python
SQL
Snowflake
Teradata

Benefits

Health Insurance
401(k) match
Pension Plan
Paid Time Off
Wellness Program
Volunteer Encouragement

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1mo ago

Lead Data and Analytics Engineer

CGI Group, Inc. Nashville, TN

Nashville, TN

1mo ago

$90k - $198k/yr Full time Analytics Architect AWS

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Job Description

CGI Group, Inc. invites you to a hybrid, Nashville based opportunity that centers on shaping cloud data capabilities and enabling smarter decisions across the business. The role offers a competitive compensation range of USD 89,600 to 198,400 per year and requires a Bachelor's degree. This position emphasizes collaboration, mentorship, and delivering enterprise‑level analytics with governance and trust at the core, all within a supportive, client‑facing environment.

Responsibilities

Drive the design and rollout of cloud based data and analytics solutions, including data pipelines, data models, and reporting structures.
Steer the enterprise reporting and data strategy, providing oversight of analytics across the organization, executive dashboards, and operational insights aligned to business goals.
Advance analytics enablement by supervising dashboard development, semantic modeling, and self service capabilities with Power BI and Tableau, ensuring intuitive, high performance reports built on trusted data.
Support scalable cloud data architectures using modern data warehouses and tools in the cloud ecosystem (Snowflake, AWS, Azure), guiding data modeling and pipeline standards for enterprise reporting and analytics.
Collaborate with business and technical stakeholders to translate requirements into sound technical solutions.
Promote best practices in data engineering, including code quality, version control, testing, and documentation.
Mentor junior team members and help steer the technical direction of data engineering initiatives.
Assist with estimating effort, planning work, and ensuring timely delivery of project components.

Requirements

Ability to recognize business needs, analyze requests, and recommend solid technical solutions.
Lead a team of 3 to 10+ technical consultants.
Manage expectations with both technical and business stakeholders.
Mentor and grow the next generation of leaders on the team.
Manage scope, timelines, and deliverables to meet firm project timelines.
Excellent verbal and written communication, with the ability to build trusted relationships across clients, teammates, managers, and domain experts.
Strong analytical and problem solving abilities with meticulous attention to detail.
Experience delivering end to end reporting and analytics solutions, including requirements gathering, KPI definition, BI data modeling, dashboard development, and data integration to support enterprise reporting needs.
Hands on experience with cloud based data and analytics platforms (AWS, Azure, Snowflake), enabling scalable pipelines and governed datasets that support Power BI, Tableau, or similar BI tools.
Bachelor's degree in Computer Science, Engineering, Management, Computer Information Systems (MIS or CIS) or related field is required.

Technologies and Tools

Snowflake
AWS
Azure
Power BI
Tableau
Oracle
PowerBuilder
Python
PySpark

Benefits

Competitive compensation
Comprehensive insurance options
Matching contributions through the 401(k) plan and the share purchase plan
Paid time off for vacation, holidays, and sick time
Paid parental leave
Learning opportunities and tuition assistance
Wellness and Well-being programs

Position Description

CGI is seeking a dedicated Lead Data and Analytics Engineer to join the Nashville team. In this full time consultant role, you will address business and technical challenges for local and enterprise clients, collaborating with a team of skilled professionals and delivering impact across internal and client partners.

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1mo ago

Senior Data Engineer / Data Architect Enterprise Data and Analytics - Vice President

Citi Rutherford, NJ

Rutherford, NJ

1mo ago

$142k - $213k/yr Full time Senior Analytics Architect

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Job Description

Citi is seeking a Senior Data Engineer / Data Architect (Vice President) to design, build, and optimize enterprise scale data platforms and analytics solutions. The role leads data pipelines, BI dashboards, and governance initiatives across the organization. The position is based in Rutherford, New Jersey with a hybrid work arrangement, and offers a salary range of USD 142,320 to 213,480 per year.

Responsibilities

Design scalable data architectures including data lakes and data warehouses organized in a Medallion Bronze, Silver, Gold pattern
Develop and manage robust ETL and ELT pipelines using SSIS, Apache Airflow, and Dataform
Build and optimize high performance data models and database objects such as stored procedures, views, and tables
Process and manage large-scale datasets (1TB plus and billions of rows) with high reliability and accuracy
Create and maintain BI dashboards and reports using Tableau, Power BI, Looker, and other tools
Collaborate with business stakeholders to translate requirements into actionable insights and analytics solutions
Integrate data from multiple systems including Oracle, SQL Server, DB2, APIs, Big Data, and Hadoop
Optimize SQL queries and data pipelines for performance and scalability
Ensure data quality, governance, and system uptime
Lead cross-functional teams and drive data strategy, roadmaps, and best practices
Mentor team members and promote knowledge sharing across teams

Requirements

Minimum of six years in data engineering, analytics, or BI development
SQL and T-SQL proficiency
Python
ETL tools including SSIS, Apache Airflow, Dataform, and Azure Data Factory
Hands-on experience with Tableau or Power BI
Experience with data warehousing and data modeling
Strong problem solving and analytical skills
Data engineering and pipeline development
Data visualization and storytelling
Cloud data platforms such as Azure and Google Cloud
SQL performance tuning
Data modeling and warehousing
Stakeholder management and leadership
BS or MS in Computer Science or a related technical field

Technologies

Medallion architecture Bronze/Silver/Gold
SSIS, Apache Airflow, Dataform, Azure Data Factory
Tableau, Power BI, Looker
Oracle, SQL Server, DB2
APIs, Hadoop
Python, SQL / T-SQL
Azure, Google Cloud Platform (BigQuery, Databricks, Spark)
Data warehousing and data modeling

Benefits

Discretionary and formulaic incentive and retention awards
Medical, dental, and vision coverage
401(k) retirement plan
Life, accidental, and disability insurance
Wellness programs
Paid time off packages for vacation, sick leave, and holidays

Location

Rutherford, New Jersey, United States (hybrid)

Job Type

Hybrid

Salary

USD 142,320 to 213,480 per year

Job Requisition ID

26950916

Posted

Apr 13, 2026

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1mo ago

Sr Data Engineer, Python + Spark (Data Federation skillset - Data Lakehouse - Eg: Starburst)

Photon New York, NY

New York, NY

1mo ago

$40k - $140k/yr Full time Python Azure Cloud Architecture

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Job Description

Photon seeks a Senior Data Engineer in New York, NY (onsite) to lead data federation and lakehouse initiatives.

Responsibilities

Data Federation Architecture: Design and implement federated query layers using Starburst Enterprise or Trino to enable high-speed analytics across distributed data sources with minimal data movement.
ETL/ELT Pipeline Development: Build scalable, distributed data processing pipelines with Python and Apache Spark (PySpark).
Lakehouse Implementation: Manage and optimize Delta Lake, Apache Iceberg, or Apache Hudi to bring ACID transactions to the data lake.
Performance Tuning: Optimize Spark jobs and SQL queries across the federation layer to minimize latency and control compute costs.
Governance & Security: Implement fine-grained access control and data masking within the federation engine to safeguard privacy across connected platforms.

Requirements

Python & Spark: 5+ years of experience with Python and deep expertise in Apache Spark tuning (partitioning, shuffling, caching).
Data Federation Tools: Hands-on experience with Starburst Enterprise, Trino (Presto), or Dremio.
Lakehouse Ecosystem: Proven track record working with Delta Lake or Iceberg architectures.
Cloud Platforms: Extensive experience with AWS (EMR, S3, Glue), Azure (Databricks, ADLS), or GCP.
SQL Mastery: Expert-level SQL skills for complex analytical queries and query plan analysis.
Data Modeling: Proficiency in designing Star/Snowflake schemas and understanding Medallion Architecture (Bronze, Silver, Gold layers).

Technologies

Python
Apache Spark
PySpark
Starburst Enterprise
Trino (Presto)
Dremio
Delta Lake
Iceberg
Hudi
AWS
EMR
S3
Glue
Azure
Databricks
ADLS
GCP
SQL
dbt
Terraform
Pulumi
Kubernetes (K8s)

Benefits

Medical, vision, and dental benefits
401k retirement plan
Variable pay/incentives
Paid time off
Paid holidays

Compensation, Benefits and Duration

Minimum Compensation: USD 40,000
Maximum Compensation: USD 140,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full-time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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1mo ago

Azure Data Engineer with Power BI and C# .NET exp--Need Government domain

infopeople corporation Queens, NY

Queens, NY

1mo ago

$55 - $65/hr Contract Python .NET Azure

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Job Description

infopeople corporation is seeking an Azure Data Engineer with Power BI and C# .NET experience to design, build, and maintain cloud-based data solutions within a government domain. This onsite role in Queens, NY centers on delivering scalable data pipelines, analytics, and reporting capabilities that support government initiatives.

Responsibilities

Design and implement scalable data pipelines leveraging Azure Data Lake, Spark, Hadoop, and ETL tools such as Informatica and Talend to handle large-scale structured and unstructured data.
Create and optimize data models, data warehouses, and relational databases (MS SQL Server, Oracle, and others) to enable analytics and reporting.
Develop interactive Power BI dashboards and reports, integrating data from Looker, Apache Hive, and other linked datasets to yield actionable insights.
Collaborate with cross-functional teams to capture requirements, translate business needs into technical specifications, and build RESTful APIs for data access.
Author efficient code in C# .NET, Python, Bash, and shell scripting to automate workflows, improve performance, and support model training initiatives.
Maintain thorough documentation of data architecture, processes, and security controls aligned to government standards.
Participate in Agile development cycles, contributing to sprint planning, daily stand-ups, and ongoing improvement.

Requirements

Proven experience as an Azure Data Engineer or similar role in government or enterprise environments.
Strong proficiency in Azure data services, including Azure Data Lake and Azure Data Factory, for cloud-based data management.
Hands-on Power BI experience to create visualizations and reports; familiarity with Looker is a plus.
Proficient in C# .NET; Python for data analysis or automation tasks is highly desirable.
Deep understanding of big data technologies such as Hadoop, Spark, Apache Hive, and ecosystems like Kafka or related frameworks.
Extensive experience with SQL Server and Oracle databases; solid database design principles.
Familiarity with ETL tools like Informatica or Talend; modeling and analysis skills for training data are advantageous.
Knowledge of RESTful API development for secure data exchange; experience in an Agile environment.

Technologies

Azure Data Lake
Spark
Hadoop
Informatica
Talend
Microsoft SQL Server
Oracle
Looker
Apache Hive
Kafka
REST API
C# / .NET
Python
Bash
Shell Scripting
Power BI
Power BI Desktop
Power BI Report Builder
DAX
Data Gateway
Azure Data Factory
Azure Data Lake Storage
Azure Databricks
Azure Synapse Analytics
SSIS
Microsoft Purview
Terraform
Airflow
PySpark

Data Engineering & Architecture

Extensive ETL/ELT design and optimization experience
Advanced SQL skills (expert level)
Python / PySpark proficiency
Dimensional data modeling with star schema
REST API integrations

Azure Data Stack

Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Azure Data Lake Storage

Microsoft Data Platform

Experience with SQL Server data warehouse environments
Working knowledge of SSIS and modernization or migration of SSIS workflows to Azure-based solutions

Power BI

Power BI Desktop (expert level)
Advanced DAX
Executive dashboard development
Paginated reports (Power BI Report Builder)
Data Gateway configuration
Incremental refresh
Row-Level Security (RLS)

Terraform (Infrastructure-as-Code)

Orchestration tools (Airflow or equivalent)
Security systems data integration experience
Experience with C# / .NET web application development for integration with internal systems or APIs

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1mo ago

Senior Data Engineer / Data Architect

Information Technology Senior Management Forum Rutherford, NJ

Rutherford, NJ

1mo ago

$142k - $213k/yr Full time Senior Architect Data

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Job Description

Information Technology Senior Management Forum is seeking a Senior Data Engineer / Data Architect to lead the design and optimization of enterprise-scale data platforms, build scalable pipelines, and enable data-driven decision making across the organization. This onsite role in Rutherford, New Jersey combines hands-on engineering with strategic data leadership and offers a clear path for mentoring teams and shaping data strategy.

Responsibilities

Design and implement scalable data architectures, including data lakes and data warehouses, leveraging Medallion architecture (Bronze/Silver/Gold).
Develop and manage robust ETL/ELT pipelines using SSIS, Apache Airflow, and Dataform.
Build and optimize high-performance data models and database objects such as stored procedures, views, and tables.
Process and manage large-scale datasets (1TB+ and billions of rows) with emphasis on reliability and accuracy.
Develop and maintain BI dashboards and reports using Tableau, Power BI, Looker, and other reporting tools.
Collaborate with business stakeholders to translate requirements into actionable insights and analytics solutions.
Integrate data from multiple systems including Oracle, SQL Server, DB2, APIs, Big Data, and Hadoop ecosystems.
Optimize SQL queries and data pipelines for performance and scalability.
Ensure data quality, governance, and system uptime.
Lead cross-functional teams and drive the data strategy, roadmap, and best practices.
Mentor team members and support knowledge sharing across teams.

Requirements

6+ years of experience in data engineering, analytics, or BI development.
Proficiency in SQL and T-SQL; Python experience preferred.
Experience with ETL tools such as SSIS, Apache Airflow, Dataform, and Azure Data Factory.
Hands-on experience with Tableau or Power BI.
Background in data warehousing and data modeling.
Strong problem-solving and analytical capabilities.
Expertise in Data Engineering and Pipeline Development.
Experience in Data Visualization and storytelling.
Knowledge of Cloud Data Platforms (Azure, GCP).
SQL performance tuning and data modeling/warehousing.
Stakeholder management and leadership experience.