aws data engineer

BCforward

<div>
 
 
 BCForward is currently seeking a highly motivated AWS Data Engineer for an On-site opportunity in Seattle, WA
 
 
 
 
 
 
 
 Role: AWS Data Engineer
 
 
 
 
 Duration: 6+ months
 
 
 
 
 Locations: Seattle, WA
 
 
 
 
 
 
 
 Anticipated Start Date:
 
 04/13/2026
 
 
 
 Job Type:
 
 Contract &ndash; Onsite
 
 
 
 
 
 We are looking for an AWS Data Engineer with strong experience in building and managing data solutions on AWS.
 
 
 
 
 
 
 Key Skills:
 
 AWS (EC2, S3, RDS, VPC), Python, Redshift (Must Have), AWS Glue, Athena, Lambda
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Build and maintain data pipelines and AWS infrastructure
 </li>
 <li>
 Work with Redshift for data warehousing and querying
 </li>
 <li>
 Use Glue, Athena, and Lambda for data processing and automation
 </li>
 <li>
 Support cloud deployments, monitoring, and troubleshooting
 </li>
 <li>
 Ensure security and compliance standards are followed
 </li>
 <li>
 Assist in migrating data and applications to AWS
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 BCforward offers all eligible employees a comprehensive benefits package, including, but not limited to, major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k.
 
 
 
 
 
 
 About BCforward:
 
 
 
 Founded in 1998 on the idea that industry leaders needed a professional service and workforce management expert to
 
 
 fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing
 
 
 unique solutions supporting value capture and digital product delivery needs for organizations around the world.
 
 
 Headquartered in Indianapolis, IN, with an Offshore Development Center in Hyderabad, India, BCforward&rsquo;s 6,000
 
 
 Consultants support more than 225 clients globally.
 
 
 BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our
 
 
 With core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients
 
 
 achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to
 
 
 become a market leader and best in class place to work.
 
 
 BCforward is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability.
 
 
 To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our Privacy Notice and CCPA Addendum. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BCforward will only use this information to complete the recruitment process.
 
 
 This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will, regardless of the anticipated assignment duration.
 
</div>

AWS Data Engineer

Openkyber

<div>Full Stack Engineer (Python | AWS | Scalable Systems)/F2F required Reston, VA Duration: Long term
We are seeking a Senior Full Stack Engineer to support the design, development, and scaling of cloud-native applications. The role involves working across the stack using Python and modern frontend frameworks, with a strong focus on building robust APIs and distributed systems on AWS (Lambda, ECS, RDS, etc.). The ideal candidate should have demonstrated experience in owning end-to-end development, delivering production-grade solutions, and contributing to system architecture, performance optimization, and reliability. The engineer will collaborate with cross-functional teams to ensure high-quality, scalable, and maintainable implementations. We are looking for candidates with a strong foundation in clean code practices, scalable system design, and cloud-native development, along with experience working with LLM models and integrating AI-driven capabilities into applications.
Skills:
<ul><li>Proven experience developing and deploying production-grade applications</li>
<li>Experience working with LLM models and integrating AI-driven capabilities into applications</li>
<li>Strong proficiency in Python and backend frameworks such as FastAPI, Flask</li>
<li>Experience building full-stack applications using modern frontend frameworks (e.g., React, Angular, or Vue.js)</li>
<li>Solid understanding of RESTful APIs, microservices architecture, and distributed systems</li>
<li>Hands-on experience with databases (SQL and NoSQL) such as PostgreSQL, DynamoDB</li>
<li>Strong experience with AWS services, including EC2, ECS, Lambda, RDS, S3, API Gateway, DynamoDB, ALB, Batch, and EFS</li>
<li>Experience with cloud-native architectures, containerization (Docker), and orchestration (Kubernetes)</li>
<li>Experience with CI/CD pipelines, Git, and platforms such as GitLab</li>
<li>Proficiency in Software Development Lifecycle (SDLC) best practices</li>
<li>Experience with infrastructure as code using tools like Terraform</li>
<li>Strong understanding of software design principles, data structures, and algorithms</li>
<li>Experience with automated testing, including unit and integration testing, and maintaining high code quality through code reviews</li>
<li>Ability to design and optimize systems for performance, scalability, and reliability</li>
<li>Experience processing large-scale data in formats such as JSON, XML, and Parquet</li>
<li>Experience using AI-assisted coding tools (e.g., GitHub Copilot or similar)</li>
<li>Strong problem-solving skills and ability to work in an agile, collaborative environment</li>
</ul>Education/Work Experience:
<ul><li>Bachelor degree in Computer Science, Information Systems or related field</li>
<li>Professional certification(s) desired 10+ years software development experience across the appropriate platform</li>
<li>Solid IT background and experience.</li>
<li>Experience as a Senior Developer for projects similar in scope and responsibility</li>
</ul>For applications and inquiries, contact: hirings@openkyber.com</div>

InterEx Group

<div>
 
 A big client of ours in New York is currently searching for a AWS Data Engineer.
 
 
 
 
 
 They are one of the largest Retail businesses globally with over 100,000 employees whereby they are working extensively with AWS and are looking to build a team of AWS Data Engineers to support the build-out of a brand new data platform on AWS Data Lake. They are looking to hire 5 people for this team and are open to hiring both Contract and Full Time Employees.
 
 
 
 
 
 Role Essentials:
 
 <ul>
 <li>
 AWS Experience
 </li>
 <li>
 Data Modernization
 </li>
 <li>
 Data Bricks
 </li>
 <li>
 Data Lake
 </li>
 <li>
 Data Factory
 </li>
 <li>
 AWS certifications are a plus
 </li>
 </ul>
 
 
</div>

AWS St Data Engineer

Inceed

<div>
 
 
 
 Compensation
 
 
 : $110,000-$125,000
 
 
 
 
 Location
 
 
 : Boulder, CO
 
 
 
 
 Position
 
 
 :&nbsp;Data Engineer
 
 
 Inceed has partnered with a great company to help find a skilled
 
 Data Engineer
 
 to join their team!
 
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Enhance and complete an existing AWS data platform
 </li>
 <li>
 Strengthen&nbsp;overall data transformation/mart structure
 </li>
 <li>
 Build clean, consistent, analytics-ready data models&nbsp;
 </li>
 <li>
 Improve downstream data usability for reporting and scalable insights
 </li>
 </ul>
 
 
 
 Required Qualifications &amp; Experience:
 
 
 
 <ul>
 <li>
 3-5+ years in data engineering or data-focused development
 </li>
 <li>
 Strong AWS experience (S3, Glue, Redshift required)
 </li>
 <li>
 Advanced SQL + solid data modeling (star schema, dimensional modeling)
 </li>
 <li>
 Experience improving or transforming existing data platforms
 </li>
 <li>
 Proven ability to turn raw data into analytics-ready datasets
 </li>
 </ul>
 
 
 
 Nice to Have Skills &amp; Experience:
 
 
 
 <ul>
 <li>
 Medallion architecture (bronze/silver/gold)
 </li>
 <li>
 AWS Athena, Step Functions
 </li>
 <li>
 BI tools (e.g., Tableau)
 </li>
 <li>
 CI/CD / DataOps exposure
 </li>
 </ul>
 
 
 
 Perks &amp; Benefits:
 
 
 
 <ul>
 <li>
 3 weeks PTO + 15 paid holidays
 </li>
 <li>
 401(k) with company match
 </li>
 <li>
 Health, dental, vision, and life insurance
 </li>
 <li>
 HSA + FSA options
 </li>
 <li>
 Disability insurance
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Tuition reimbursement + reduced tuition rates
 </li>
 <li>
 Employee discount program
 </li>
 <li>
 Paid training
 </li>
 <li>
 Flexible spending account
 </li>
 <li>
 Pet insurance
 </li>
 </ul>
 
 If you are interested in learning more about the
 
 Data Engineer
 
 &nbsp;opportunity, please submit your resume for consideration. Our client unable to provide sponsorship at this time.
 
 
 
 We are Inceed, a staffing direct placement firm who believes in the possibility of something better. Our mission is simple&rdquo; We&rsquo;re here to help every person, whether client, candidate, or employee, find and secure what&rsquo;s better for them.
 
 
 
 
 Inceed is an equal opportunity employer. Inceed prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
 
 
</div>

Data Engineer

Entarian

<div>Overview/ Job Responsibilities:

Sev1Tech is looking for a Data Engineer for the Naval Supply Systems Command (NAVSUP) Ordnance Information System (OIS) to provide technical expertise on a mission-critical program whose purpose is to develop, modernize, enhance, operate, and maintain services for OIS mission critical systems. 
As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and Administrators and focus on designing, building, deploying, and maintaining data architectures and databases in the AWS GovCloud environment. 
This position is on-site in a secured space 5 days/week and can be filled in either Mechanicsburg, PA, OR Yorktown, VA.<div></div><div> 
Primary Responsibilities:</div>
The Data Engineer will be responsible for the following:<ul><li>
Develop, construct, test, and maintain high performance, scalable, and stable data architectures for OIS, such as databases and large-scale processing systems, and migrate data from on-premises databases to cloud-based solutions, transforming the data as required.</li><li>
Develop and maintain scalable data pipelines and build out new API integrations, ensure that data pipelines are scalable, repeatable, and secure.</li><li>
Implement and manage databases and data delivery systems and transform them into insights, analysis, and reporting.</li><li>
Identify, research, design, develop, and promote solutions that enhance the modern development environment to ensure systems meet business requirements and industry best practices.</li><li>
Implement the data extraction, data load, and database synchronization routines and functions ETL.</li><li>
Implement data governance and quality controls and monitor ETL/ELT jobs to ensure performance and halt any potential issues.</li><li>
Improve system performance by conducting tests, troubleshooting, and integrating new elements and ensure all data platform solutions adhere to confidentiality and privacy requirements.</li><li>
Collaborate with data scientists, architects, and other stakeholders to ensure that the data infrastructure supports required functions and performance metrics.</li><li>
Design, model, document, and guide the logical and conceptual relationship of data and database changes.</li><li>
Document data architecture and systems for both technical teams and non-technical stakeholders.</li><li>
Perform technical planning, system integration, verification and validation, cost and risk assessments.</li></ul>
Minimum Qualifications:
<ul><li>Must have DOD Secret level clearance (fully adjudicated T3 background check) to start and be able to pass a T5/Top Secret background check (U.S. Citizen required only for Federal Clearance Requirement)</li><li>
Certification Requirements: Directive 8570.1/8140 - IAT II:
<ul><li>Baseline Certification: Security+
</li><li>Computing Environment Certification: AWS Certified Solutions Architect or AWS Certified Data Engineer or similar equivalent Cloud environment certification or Oracle Database Certified Associate or equivalent Database Certification (highly preferred to have in hand upon applying; if not, must obtain within 3 months of start)</li></ul></li><li>
BA/BS (or equivalent experience) and 5+ years of prior relevant experience or Master&rsquo;s with 3+ years of prior relevant experience.</li><li>
Familiarity with data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools.</li><li>
Experience with developing and/or administrating in PostreSQL</li><li>
Proficiency in SQL and experience with other querying languages.</li><li>
Understanding of data modeling, schema design, and database optimization.</li><li>
Knowledge of data security and compliance best practices.</li><li>
Excellent verbal and written communication skills, with the ability to interact effectively with technical and non-technical stakeholders.</li><li>
Must be a self-starter and have the ability to work independently with little supervision.</li></ul>
Desired Qualifications:
<ul><li>Highly preferred: DOD Top Secret level clearance (fully adjudicated T5 background check)</li><li>
Highly preferred: BA/BS in Math, Engineering, Computer Science or related field preferred (or equivalent experience) and 10+ years of prior relevant experience or Master&rsquo;s with 8+ years of prior relevant experience</li><li>
Experience in decomposition of Oracle PL/SQL stored procedures and triggers to migrate to Amazon Aurora DB, Postgres, or MySQL</li><li>
Experience with GitLab, Liquibase, CI/CD pipelines highly preferred</li><li>
Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, RabbitMQ, etc.</li><li>
Demonstrated experience in network and cyber security design, engineering and operations with emphasis on Navy capabilities</li><li>
Navy experience</li><li>
Experience with cloud data services (e.g., AWS, Azure, GCP)</li><li>
Experience with Cloud Relational Database Services (e.g, AWS RDS, Aurora DB)</li><li>
SAFe experience and knowledge</li><li>
Experience with Data warehousing and Business Intelligence tools such as RedShift, MicroStrategy, Erwin Data Modeler, Pentaho, etc.</li><li>
Experience with one or more programming languages like Python, Java, Scala, or Go.</li></ul>
About Us:
<div>
Formed through the strategic union of Sev1Tech and ERT, Entarian is a premier provider of mission-critical engineering and technology solutions. Founded on a legacy of excellence dating back to 1993, Entarian is a product of an evolved and fully diversified engineering and federal technology leader. From deep space to defense and civilian missions, Entarian delivers secure, mission-aligned digital solutions that drive national resilience and operational effectiveness. We don't just support modernization; we define it.</div><div></div><div> 
Join the Mission and Start your Career Journey: Apply Directly via our Careers Portal Connect, Referrals &amp; Inquiries? Email the team: careers@entarian.com</div><div></div><div> 
Entarian is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.</div></div>

Ai Vantage

Key Responsibilities<ul><li>Design, develop, and maintain robust ETL/ELT data pipelines using Python and AWS services</li><li>Build and optimize data lakes, data warehouses, and data marts on AWS</li><li>Ingest, transform, and process structured and unstructured data from multiple sources</li><li>Ensure data quality, integrity, security, and compliance with federal standards</li><li>Collaborate with data scientists, analysts, and application teams to support analytics and reporting</li><li>Optimize performance, cost, and scalability of data workflows in AWS</li><li>Implement data governance, metadata management, and logging/monitoring practices</li><li>Support documentation, data models, and technical design artifacts</li><li>Troubleshoot production issues and support ongoing enhancements</li></ul>Required Qualifications<ul><li>5+ years of hands-on experience as a Data Engineer or similar role</li><li>Strong proficiency in Python for data processing and automation</li><li>Extensive experience with AWS, including services such as:</li><li>S3, EC2, Lambda</li><li>Glue, Athena, Redshift</li><li>EMR, CloudWatch (preferred)</li><li>Solid understanding of SQL and relational/non-relational databases</li><li>Experience building batch and/or streaming data pipelines</li><li>Familiarity with CI/CD pipelines, version control (Git), and DevOps practices</li><li>Experience working in federal or regulated environments</li></ul>Preferred Qualifications<ul><li>US Census Clearance (active or previously held)</li><li>Experience with big data technologies (Spark, PySpark, Hadoop)</li><li>Knowledge of data security, encryption, and access controls in AWS</li><li>Exposure to data orchestration tools (Airflow, Step Functions, etc.)</li><li>Experience supporting analytics, BI, or AI/ML workloads</li></ul>Nice to Have<ul><li>AWS Certification (Data Analytics, Solutions Architect, or Developer)</li><li>Experience with Terraform or CloudFormation</li><li>Familiarity with federal data standards and compliance frameworks</li></ul>Job Types: Full-time, ContractPay: $95,000.00 - $110,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Relocation assistance</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Python: 3 years (Required)</li><li>R: 3 years (Required)</li><li>SQL: 3 years (Required)</li><li>ETL: 3 years (Required)</li><li>AWS: 3 years (Required)</li><li>Redshift: 3 years (Required)</li></ul>Work Location: Hybrid remote in Vienna, VA 22182

Data Engineer- Local

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The PXT Central Science team is looking for a Data Engineer. This individual will join a team of economists and scientists to own and accelerate science and analytics in our rapid employee intelligence workstream. This suite of models identifies causal factors driving changes in employee sentiment, actions, and business outcomes. 
 
Key job responsibilities 
PXTCS is looking for a data engineer with expertise in complex data environments. You will be responsible for enhancing our existing data architecture to further standardize metrics and definitions, building and testing new features, developing end-to-end data engineering solutions for complex analytical problems, and collaborating with economists, data scientists, and software engineers to translate data into actionable insights. Specific responsibilities include: 
<ul><li>Data Pipeline Development: Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); build monitoring and error handling for data workflows; optimize performance, reliability, and cost efficiency</li><li>Model Productionization &amp; API Development: Develop and maintain APIs and data serving layers that productionize science models for downstream consumption; build batch and real-time inference pipelines</li><li>Data Integration &amp; Quality: Build scalable feature extraction and processing frameworks for diverse data types; develop robust data quality and validation checks; create flexible schemas supporting evolving requirements</li><li>Cross-team Collaboration: Partner with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture discussions</li><li>Analytics &amp; Infrastructure: Maintain layered data systems used by economists and scientists; build automated reporting solutions; work across multiple interconnected AWS accounts with security best practices</li></ul> 
About the team 
The Central Science Team within Amazon&rsquo;s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science, engineering, and UX to develop and deliver solutions that measurably achieve this goal.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Knowledge of professional software engineering &amp; best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence</li><li>3+ years of data engineering experience</li><li>Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, San Francisco - 152,000.00 - 205,600.00 USD annually 
USA, MA, Boston - 132,100.00 - 178,800.00 USD annually 
USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually 
USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually 
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div>

Data Engineer, PXT Central Science

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Data Engineer, PXT Central Science