Project

Project Developer Jobs

709 jobs found

6d ago

Project Lead Data Engineer III

Deloitte Sacramento, CA

Sacramento, CA

6d ago

$119k - $198k/yr Full time Data Data Engineer Data Platform

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Job Description

Project Lead Data Engineer III in Deloitte, Sacramento, CA (onsite) with a salary range of USD 119,000 - 198,400 per year.

Responsibilities

Oversee Teradata environments, covering servers, databases, partitions, tables, indexes, and storage structures to maintain reliability and uptime.
Tune SQL queries and optimize performance to boost efficiency and overall database performance.
Operate Teradata utilities such as BTEQ, load utilities, and workload and query execution tools to support data workflows.
Monitor system health, identify maintenance needs, and proactively implement upgrades, patches, and performance enhancements.
Collaborate with cross functional stakeholders to communicate status, resolve issues, and provide updates on Teradata environment health.

Requirements

Bachelor's degree.
Authorized to work in the United States without employer sponsorship now or in the future.
Ability to obtain and maintain the required security clearance for this role.
At least 8 years of experience as a Teradata DBA with strong database administration and system management expertise.
At least 2 years of experience with Teradata utilities (BTEQ, load management, and query execution management) and with user/database administration.
At least 2 years of SQL experience with demonstrated performance tuning and query optimization skills.
Ability to travel an average of 5 to 20 percent, depending on client and project assignments.

Technologies

Teradata
BTEQ
Teradata load utilities
SQL
Workload management tools
Query execution management

The Team

Deloitte's Government & Public Services GPS practice focuses on delivering impact for federal, state, and local government clients as well as public higher education institutions. Our team blends people, ideas, technology, and outcomes to help clients anticipate disruption, reimagine possibilities, and fulfill their mission promise.

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17d ago

Cloud Software Engineer – AI/ML Project Top Secret/SCI w/Poly

Peraton Laurel, MD

Laurel, MD

17d ago

$104k - $166k/yr Full time Python Cloud Operations Cloud Platforms

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Job Description

Cloud Software Engineer for an AI/ML project with Top Secret/SCI w/ Poly clearance in Laurel, MD (onsite); salary range USD 104,000 to 166,000 per year.

Responsibilities

Contribute to next generation cyber security and AI/ML capabilities hosted on large scale compute clusters and AWS Cloud infrastructure.
Conduct cloud software research, development, and engineering activities.
Analyze requirements.
Develop software.
Install software components.
Integrate software with systems.
Evaluate software and systems.
Enhance capabilities and codebase.
Sustain software operations.
Test software and components.
Validate results and performance.
Diagnose issues and provide resolution.

Requirements

Bachelor's Degree in Computer Science or related technical field; equivalent to two years of experience.
Two plus years of directly related software development/engineering experience, including requirements analysis, development, installation, integration, evaluation, enhancement, maintenance, testing, and troubleshooting.
Experience with open source NoSQL products such as HBase, Accumulo, or BigTable for highly distributed, massively parallel computation.
At least one year of software development experience with high level languages such as Java, C, or C++.
Two plus years of experience in software integration and software testing, including creating and implementing test plans and test scripts.
Active TS/SCI clearance with polygraph.

Technologies

Python
Java
C
C++
HBase
Accumulo
BigTable
MapReduce
Hadoop
Hive
Pig
HDFS
JSON
BSON
AWS
Google Cloud Platform
Facebook
Hobbit
Ganglia
AI
LLM
ML
RAG
Elasticsearch
OpenSearch
Kubernetes
CloudFormation
Terraform
JavaScript
Linux
Ruby
Perl

Benefits

Heavily subsidized employee benefits coverage for you and your dependents
25 days of PTO accrued annually
Eligibility to participate in an attractive bonus plan
Medical benefits
Dental benefits
Vision benefits
Life insurance
Health Savings Account (HSA)
Short/Long term disability
Employee Assistance Program (EAP)
Parental leave
401(k)
Paid time off (PTO) for vacation
Company paid holidays

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1mo ago

Project - Data Engineer

Deloitte Kansas City, MO

Kansas City, MO

1mo ago Closed

$57k - $96k/yr Full time Amazon Web Services AWS Aws Glue

This position is no longer accepting applications (closed Jul 31, 2026).

Job Description

Based onsite in Kansas City, MO, Deloitte's Project Delivery team is looking for a Data Engineer to build data pipelines on AWS, maintain Snowflake objects, ensure data quality, and lead client engagement workstreams. Salary range: USD 57,300 to 95,500 per year. A Bachelor's degree and at least 1 year of relevant experience are required.

Benefits

Discretionary annual incentive program.

Responsibilities

Build and refine data pipelines on AWS using Python to ingest, transform, and deliver data to Snowflake and downstream consumers.
Develop and maintain Snowflake objects (schemas, tables, views) and write performant SQL transformations to produce curated, analytics-ready datasets.
Implement workflow automation and scheduling with proper dependencies, retries, and logging using Airflow/MWAA, Step Functions, and Glue.
Apply data quality checks and basic observability (validation rules, reconciliation, alerts) and support incident triage and remediation.
Optimize pipeline and query performance with guidance on efficient Python, S3 partitioning, and Snowflake warehouse usage and query tuning.
Follow CI/CD and IaC standards (Git-based workflows, Terraform/CloudFormation changes) to promote code across environments.
Collaborate with analysts, product owners, and source-system teams to clarify requirements and validate outputs; participate in sprint ceremonies and estimations.
Contribute to code reviews, unit tests, and peer debugging; learn and apply team engineering standards.
Communicate regularly with Engagement Managers (Directors), project team members, and cross-functional technical teams; escalate matters needing engagement management attention.
Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes, implementing leading practice workflows and driving operational outcomes.

Requirements

1+ year of experience building or enhancing data pipelines and curated datasets for analytics and downstream consumers.
1+ year of hands-on experience with SQL and Python, including Snowflake and/or PySpark for transformations and scalable processing.
1+ year of experience with cloud data engineering on AWS (preferred) or Azure/GCP, including orchestration/scheduling (Airflow/MWAA, Step Functions, Glue, ADF/Fabric Data Factory).
Understanding of ELT patterns and Lakehouse/warehouse concepts; familiarity with S3 file formats and partitioning (Parquet/Delta).
Working knowledge of DevOps practices (Git-based workflows, CI/CD) and exposure to Infrastructure-as-Code (Terraform/CloudFormation).
Understanding data quality, basic observability, and metadata/governance fundamentals.
Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel 10% on average, based on work and client needs.

Technologies

Python
SQL
Snowflake
PySpark
AWS
Airflow / MWAA
Step Functions
Glue
S3
Parquet
Delta
Terraform
CloudFormation
Git
ADF / Fabric Data Factory

The Team

AI& Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to mee

Preferred

Agile delivery experience
Analytical ability to manage multiple projects and prioritize tasks into manageable work products
Ability to operate independently or with minimal supervision
Excellent written and verbal communication skills
Ability to deliver technical demonstrations

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1mo ago

Android OS (Android Open Source Project) Embedded Software Engineer

APR Consulting Inc Dedham, MA

Dedham, MA

1mo ago Closed

$77 - $77/hr Contract Android Device Drivers Embedded

This position is no longer accepting applications (closed Jul 30, 2026).

Job Description

APR Consulting, Inc. is seeking an Android OS embedded software engineer to support a DoD and Aerospace program. The on-site role in Dedham, MA centers on delivering mission-critical cybersecurity and encryption capabilities implemented on Android OS with custom hardware.

Details

Location: Dedham, MA (onsite)
Salary: USD 77 - 77 per hourly
Job Type: Contract
Minimum Experience: 3 years
Education: Bachelor’s Degree in Software Engineering, or related STEM field

Responsibilities

Design and sustain NSA-certified cybersecurity devices that run Android OS on custom hardware
Translate CONOPS, specifications, and requirements into robust software designs, code, and test plans
Lead projects with minimal guidance, providing technical direction and leadership
Collaborate with cross-functional teams to implement real-time, multi-threaded embedded software on Linux and Android
Apply model-based development tools such as Rhapsody and work with ARM virtualization extensions, hypervisors, and device drivers
Support long product lifecycles through ongoing maintenance, updates, and technology refreshes

Requirements

Education: Bachelor’s Degree in Software Engineering, or related Science, Engineering, Technology, or Mathematics field
Experience: Minimum 3 years of relevant experience; 5+ years of relevant experience or a Master’s degree plus 3 years of experience
Citizenship: U.S. citizenship required

Technologies

Android OS, AOSP
Linux, C++, Java
UML, Rhapsody
Ninja/SOONG build systems
ARM virtualization extensions, hypervisors
Device drivers

About Our Client

Our client is a mission-critical DOD aerospace defense contractor developing solutions that will lead, serve, and protect the nation. They design strategic systems for defense, civil government, intelligence, and cyber users on an international basis.

About APR

Since 1980 APR Consulting, Inc. has provided professional recruiting and contingent workforce solutions to a diverse mix of clients, industries, and skill sets nationwide.

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1mo ago

Project - Data Engineer

Deloitte Bellevue, WA

Bellevue, WA

1mo ago Closed

$57k - $96k/yr Full time Analytics Azure Data Factory Big Data

This position is no longer accepting applications (closed Jul 30, 2026).

Job Description

Deloitte’s Bellevue, Washington-based project delivery team is looking for a Data Engineer to design and operate data pipelines on AWS and Snowflake, delivering analytics-ready datasets as part of the Project Delivery Model. This on-site role sits at the crossroads of software engineering and data operations, collaborating with analysts, product owners, and source-system teams to translate requirements into reliable data products for client engagements. The position offers a salary range of USD 57,300 to 95,500 per year and is based on-site in Bellevue.

Responsibilities

Design and extend cloud-based data pipelines on AWS using Python to ingest, transform, and route data to Snowflake and downstream analytics teams.
Create and manage Snowflake objects such as schemas, tables, and views, implementing efficient SQL transformations to produce curated datasets ready for analytics.
Automate workflows and scheduling with tools like Airflow/MWAA, Step Functions, and Glue, establishing dependencies, retries, and logging.
Implement data quality validations, basic observability, and alerting, and assist with incident triage and remediation.
Enhance pipeline and query performance through efficient Python practices, S3 partitioning and file formats (Parquet/Delta), and tuned Snowflake usage.
Follow CI/CD and Infrastructure-as-Code standards using Git workflows and Terraform/CloudFormation to promote code across environments.
Collaborate with analysts, product owners, and source-system teams to clarify requirements, validate outputs, and participate in sprint ceremonies and estimations.
Contribute to code reviews, unit tests, and peer debugging while adhering to team engineering standards.
Maintain regular communication with Engagement Managers and project stakeholders across functional and technical teams, escalating issues when needed.
Lead and participate in client engagement workstreams focused on process improvement, optimization, and transformation, implementing best-practice workflows and addressing quality deficits to drive operational outcomes.

Requirements

At least 1 year of experience building and enhancing data pipelines and curated datasets for analytics and downstream consumers.
1+ year of hands-on experience with SQL and Python, including Snowflake and/or PySpark for transformations and scalable processing.
1+ year of cloud data engineering experience on AWS (preferred) or Azure/GCP, with orchestration/scheduling using Airflow/MWAA, Step Functions, Glue, or ADF/Fabric Data Factory.
Understanding of ELT patterns and lakehouse/warehouse concepts; familiarity with S3 file formats and partitioning (Parquet/Delta).
Working knowledge of DevOps practices (Git-based workflows, CI/CD) and exposure to Infrastructure-as-Code (Terraform/CloudFormation).
Knowledge of data quality, basic observability, and metadata/governance fundamentals.
Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel approximately 10% on average, depending on client engagements.

Technologies

AWS
Python
Snowflake
SQL
PySpark
Airflow
MWAA
Step Functions
Glue
Terraform
CloudFormation
Amazon S3
Parquet
Delta Lake
Azure Data Factory (ADF)
Fabric Data Factory
Git

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1mo ago

Project - Data Engineer

Deloitte Stamford, CT

Stamford, CT

1mo ago Closed

$57k - $96k/yr Full time Amazon Web Services Analytics AWS

This position is no longer accepting applications (closed Jul 29, 2026).

Job Description

Deloitte is seeking a Project - Data Engineer to join their delivery team on site in Stamford, CT. The role centers on building robust data pipelines and analytics-ready datasets in AWS and Snowflake for a large, onshore/offshore program, with CI/CD, observability, and collaboration across analytics and product teams.

Responsibilities

Design and enhance AWS-based data pipelines using Python to ingest, transform, and deliver data to Snowflake and downstream consumers.
Create and maintain Snowflake objects (schemas, tables, views) and implement efficient SQL transformations to produce curated analytics-ready datasets.
Set up workflow automation and scheduling across MWAA Airflow, Step Functions, and Glue, including dependencies, retries, and logging.
Implement data quality checks and basic observability, including validation rules, reconciliation, and alerts, and assist with incident triage and remediation.
Improve pipeline and query performance through best-practice techniques, such as efficient Python, S3 partitioning and file formats, and Snowflake tuning.
Adhere to CI/CD and Infrastructure-as-Code standards using Git workflows and Terraform/CloudFormation to promote code across environments.
Collaborate with analysts, product owners, and source-system teams to clarify requirements, validate outputs, and participate in sprint ceremonies and estimations.
Contribute to code reviews, unit tests, and peer debugging while applying the team engineering standards.
Maintain regular communication with Engagement Managers, project team members, and various functional/technical stakeholders, escalating issues when needed.
Lead client engagement workstreams, focusing on process improvement, optimization, and transformation by implementing leading-practice workflows and driving operational outcomes.

Requirements

1+ year of experience building and refining data pipelines and curated datasets for analytics and downstream consumers.
1+ year of hands-on SQL and Python experience, including Snowflake and/or PySpark for transformations and scalable processing.
1+ year of cloud data engineering experience on AWS (preferred) or Azure/GCP, with orchestration/scheduling tools such as Airflow/MWAA, Step Functions, Glue, or ADF/Fabric Data Factory.
Understanding of ELT patterns and lakehouse/warehouse concepts; familiarity with S3 file formats and partitioning (Parquet/Delta).
Working knowledge of DevOps practices (Git-based workflows, CI/CD) and exposure to Infrastructure-as-Code (Terraform/CloudFormation).
Understanding of data quality, basic observability, and metadata/governance fundamentals.
Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel approximately 10% depending on client engagements.
Agile delivery experience.
Analytical ability to manage multiple projects and prioritize tasks.
Ability to work independently or with minimal supervision.
Excellent written and verbal communication skills.
Ability to deliver technical demonstrations.

Technologies

AWS
Python
Snowflake
SQL
PySpark
Airflow (MWAA)
Step Functions
Glue
Terraform
CloudFormation
Git
Parquet
Delta
S3
Azure Data Factory
Fabric Data Factory

Benefits

Discretionary annual incentive program

The Team

AI & Data - AI & Engineering leverages advanced engineering capabilities to build, deploy, and operate integrated sector solutions across software, data, AI, networks, and hybrid cloud infrastructure. These solutions empower clients to modernize technology and data platforms while transforming engineering teams and delivering operational value.

View full job page →

1mo ago

Project - Data Engineer

Deloitte Rochester, NY

Rochester, NY

1mo ago Closed

$57k - $96k/yr Full time Apache Airflow AWS Azure Data Factory

This position is no longer accepting applications (closed Jul 28, 2026).

Job Description

Based in Rochester, NY and onsite, this role sits within Deloitte's data engineering practice. The Data Engineer – Project Delivery Analyst focuses on building scalable data pipelines on AWS and Snowflake, turning raw data into analytics-ready assets and elevating data quality and observability across delivery teams.

Responsibilities

Construct and optimize AWS-based data pipelines using Python to ingest, transform, and deliver data to Snowflake and downstream consumers.
Create and maintain Snowflake objects (schemas, tables, views) and implement efficient SQL transformations to generate curated, analytics-ready datasets.
Automate workflows and scheduling with tools such as Airflow/MWAA, Step Functions, and Glue, ensuring proper dependencies, retries, and logging.
Implement data quality checks and basic observability, including validation rules, reconciliations, and alerts; assist with incident triage and remediation.
Improve pipeline and query performance through best practices in Python efficiency, S3 partitioning/file formats (Parquet/Delta), and Snowflake warehouse tuning.
Adhere to CI/CD and infrastructure-as-code standards (Git-based workflows, Terraform/CloudFormation) to promote code across environments.
Collaborate with analysts, product owners, and source-system teams to clarify requirements and validate outputs; participate in sprint ceremonies and estimations.
Contribute to code reviews, unit tests, and peer debugging; adopt and apply team engineering standards.
Maintain regular communication with Engagement Managers, project members, and cross-functional teams, escalating matters needing engagement management attention.
Lead client engagement workstreams focused on process improvement, optimization, and transformation, including implementing leading practice workflows and driving operational outcomes.

Requirements

At least 1 year of experience building and enhancing data pipelines and curated datasets for analytics and downstream consumers.
Minimum 1 year of hands-on SQL and Python experience, including Snowflake and/or PySpark for transformations and scalable processing.
At least 1 year of cloud data engineering experience on AWS (preferred) or Azure/GCP, including orchestration/scheduling (Airflow/MWAA, Step Functions, Glue, ADF/Fabric Data Factory).
Understanding of ELT patterns and lakehouse/warehouse concepts; familiarity with S3 file formats and partitioning (Parquet, Delta).
Working knowledge of DevOps practices (Git-based workflows, CI/CD) and exposure to Infrastructure-as-Code (Terraform/CloudFormation).
Comfort with data quality, basic observability, and metadata/governance fundamentals.
Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related IT discipline, or equivalent experience.
Sponsorship for immigration may be limited.
Ability to travel approximately 10% of the time, depending on client engagements.

Technologies

Python
AWS
Snowflake
PySpark
Airflow
MWAA
Step Functions
Glue
S3
Parquet
Delta
Git
Terraform
CloudFormation
Azure Data Factory
Fabric Data Factory

Benefits

Discretionary annual incentive program, subject to program rules.

The Team

The AI and Data organization at Deloitte brings together engineering capabilities to design, deploy, and operate integrated solutions that span software, data, AI, network, and hybrid cloud infrastructure. The team emphasizes transforming how clients run mission-critical operations by modernizing data platforms and delivery models tailored to each engagement.

PREFERRED

Experience delivering projects in an Agile environment.
Strong analytical ability to juggle multiple projects and translate priorities into actionable work.
Ability to work independently or with minimal supervision.
Excellent written and verbal communication skills.
Capacity to present technical demonstrations effectively.