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Sr Software Engineer (HashiCorp Vault)
IBM
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Forward Deployed AI Engineer - Agentic Systems Lead
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Workday Adaptive Planning Engineer
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- $65 to $75 USD / hour
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Quality Assurance Engineer - PHP
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Atlanta, GA
- $40 to $50 USD / hour
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Added 1 min ago
MS
Vice President - Java Lead for Investment Banking Advisory Technology
MS Services Group, Inc.
NY
- $155,000 to $215,000 USD / year
We are seeking a senior, hands-on Full Stack Engineer with a strong backend Java focus to join IBD & GCM Technology, part of the wider Institutional Securities Technology (IST) Division.…
Added 2 mins ago
Undergraduate Rotational Electrical Engineer
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Technical/Industry Experience and Qualifications Requirements:
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Graduate Electrical Engineer
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…and Construction to meet company, customer, and regulatory requirements, on time, within budget, and to required quality…
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Test Engineer
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Lakeland, FL
…innovators in the aerospace and automotive sectors is seeking a Test Engineer to support its Automotive & Autonomous Systems team in Lakeland, FL. In this role, you will contribute directly…
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Avionics Engineer
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Senior Software Engineer
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- $60 to $70 USD / hour
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CNC Programmer
Actalent
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Process Controls Engineer
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- $110,000 to $150,000 USD / year
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Quality Process Engineer
Actalent
Manitowoc, WI
Job Title: Quality Process EngineerJob DescriptionThe Quality Process Engineer leads critical quality initiatives across manufacturing, suppliers, and customers to ensure robust processes,…
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REMOTE - Process Controls Engineer
Actalent
Houston, TX
- $110,000 to $150,000 USD / year
DescriptionThis role will serve as the lead process controls and batch automation engineer supporting manufacturing operations, with primary ownership of FactoryTalk Batch and the…
Added 5 mins ago
Client Director, Cloud & Strategic AI
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Translate customer requirements into clear input for product management and engineering roadmaps.
Added 6 mins ago
Senior Software Engineer
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United States
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Added 7 mins ago
Senior Engineer
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…include a variety of complex features such as conflicting design…
Added 8 mins ago
Sr. Application Infrastructure Engineer
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Added 10 mins ago
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Senior Scientist II / Principal Research Scientist I - Analytical R&D
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- $124,500 to $236,500 USD / year
…analytical scientists to frame high-value scientific questions, engineer and integrate complex analytical data, and develop fit-for-purpose models, visualizations, and digital solutions…
Added 11 mins ago
Analytics Engineer
Wellthy
United States
As an Analytics Engineer, you will help company leaders make better decisions by building and maintaining our data stack to power analysis, insights, and reports.
Added 12 mins ago
Data Engineer (BigQuery)
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Washington, DC · Reston, VA · Bethesda, MD
Northramp is seeking a Data Engineer (BigQuery) to join the team supporting a mission-critical effort to consolidate, modernize, and operate our client's enterprise cloud services across…

Credence

AWS Databricks Engineer

McLean, VA, United States

$155,000 to $185,000 USD / year

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Job details

Pay: $155,000 to $185,000 USD / year
Posting language: English
Posted: Nov 5, 2026

Original job description

Overview

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We’ve been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries and dive into important, world-changing federal challenges. Position Summary Credence has an immediate need for an AWS Databricks Engineer to join our growing AI and Automation practice. You will serve as a key technical contributor responsible for designing, building, and optimizing scalable cloud-based data solutions using AWS and Databricks. You’ll develop robust data pipelines, implement modern data lakehouse architectures, and collaborate across engineering, data science, and stakeholder teams to deliver secure, high-performance data capabilities that advance federal missions.

Responsibilities include, but are not limited to, the duties listed below:

Databricks Engineering Design, build, and optimize scalable data pipelines and processing workflows using Databricks, Apache Spark, PySpark, and Delta Lake.
Data Lakehouse Architecture Design and implement modern lakehouse solutions using Databricks and AWS services. Apply medallion architecture (Bronze/Silver/Gold layers) to improve data quality, governance, lineage, performance, and accessibility.
AWS Data Integration Build and maintain ETL/ELT pipelines integrating structured, semi-structured, and unstructured data across AWS services such as S3, Glue, RDS, Redshift, Lambda, and related cloud data platforms.
Data Transformation & Optimization Develop efficient data transformation workflows using SQL, Python, and PySpark. Optimize Spark workloads, queries, clusters, and storage configurations for performance, reliability, and cost efficiency.
Data Governance & Quality Implement data quality, cataloging, lineage, governance, and access-control practices across Databricks and AWS environments, including the use of Unity Catalog where applicable.
Cloud Automation & DevOps Automate data platform deployments and workflows using Infrastructure as Code (IaC), CI/CD pipelines, Git-based development practices, and AWS-native deployment tools.
Collaborative Engineering Work closely with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and technical requirements into production-ready data solutions.
Technical Rigor & Documentation Develop clean, maintainable, and well-documented code while following engineering, security, and federal development standards. Support code reviews, testing, troubleshooting, and technical design documentation.

Requirements

U.S. citizenship with the ability to obtain and maintain a Secret clearance is required.
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field.
Hands-on experience in data engineering, cloud engineering, or related technical roles.
Hands-on experience building and maintaining production data solutions using Databricks, Apache Spark, and PySpark.
Strong experience with AWS data services such as S3, Glue, RDS, Redshift, Lambda, IAM, and CloudWatch.
Strong understanding of ETL/ELT processes, data lake and lakehouse architectures, data modeling, and large-scale data processing.
Hands-on experience with Delta Lake, SQL, Python, and Spark-based data processing.
Experience developing, scheduling, monitoring, and troubleshooting production data pipelines and workflows.
Experience with Git and CI/CD platforms such as GitLab, GitHub Actions, Jenkins, or AWS CodePipeline.
Understanding of cloud security, identity and access management, encryption, and secure data-handling practices.
Strong communication skills and a client-oriented mindset with the ability to collaborate across technical and non-technical teams.

Preferred

Experience implementing Databricks Lakehouse Architecture and medallion architecture using Bronze, Silver, and Gold data layers.
Experience with Databricks Unity Catalog, Delta Live Tables, Databricks Workflows, or similar data orchestration and governance capabilities.
Strong Python proficiency and experience with data engineering libraries and frameworks such as PySpark, Pandas, and Pydantic.
Experience with Infrastructure as Code tools such as Terraform, OpenTofu, AWS CDK, or CloudFormation.
AWS and/or Databricks certifications, such as AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect, or Databricks Certified Data Engineer credentials.
Knowledge of federal cybersecurity, RMF, FedRAMP, or other government regulatory and compliance frameworks.
Experience delivering cloud-native data solutions within federal government or other highly regulated environments.

Salary Range: $155,000 - $185,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications.

Benefits

Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Public Holidays)
Family Leave (Maternity, Paternity)
Short Term & Long Term Disability
Training & Development
Wellness Resources

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More about this job

Skills

AWS
Databricks
Apache Spark
PySpark
Data engineering
Unstructured data
Amazon Redshift
SQL
Python
Cataloging
Unity
DevOps
Infrastructure as code
CI/CD
Git
Documentation
Troubleshooting
Computer science
Identity and access management
Data modelling
Process data
Scheduling
GitLab
GitHub
Jenkins
Communication skills
IBM Terraform
AWS certification
Cybersecurity
Regulatory compliance

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