data scientist

data analyst

research analyst

senior data engineer

ai devops engineer

data analytics engineer

ShadowObjects, LLC

<div>Job Title: Data Analytics Engineer 
Clearance Requirement: Active DoD Secret Clearance required 
Location: Remote / Pentagon<h3 class="jobSectionHeader">
Position Overview</h3>
The Data Analytics Engineer is a hybrid role combining Data Analyst, Data Engineer, and Data Scientist responsibilities. This position operates with a high level of autonomy, owning projects end-to-end across functional areas. The ideal candidate is proactive, solution-oriented, and capable of identifying opportunities, reducing complexity, and delivering efficient, high-quality data solutions.
This role also provides guidance to team members, helps remove roadblocks, and contributes to the continuous improvement of processes, systems, and deliverables.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
Data Analysis &amp; Insights<ul><li>
Gather, clean, and analyze complex datasets using advanced analytical techniques</li><li>
Apply statistical methods to identify trends, patterns, and anomalies</li><li>
Conduct exploratory data analysis (EDA) to support decision-making</li><li>
Translate data findings into actionable insights for technical and non-technical stakeholders</li></ul>
Data Engineering &amp; Pipeline Development<ul><li>
Design, develop, and maintain ETL/ELT pipelines using Databricks and Delta Lake</li><li>
Implement Medallion Architecture (Bronze, Silver, Gold) to ensure data quality and scalability</li><li>
Manage data ingestion processes with a focus on traceability and governance (e.g., Collibra)</li><li>
Build and maintain data pipelines within DoD environments such as Advana/Jupiter</li><li>
Troubleshoot, debug, and optimize data pipelines, identifying root causes and implementing solutions</li></ul>
Data Visualization &amp; Reporting<ul><li>
Develop dashboards, reports, and visualizations using tools such as Tableau, Power BI, Qlik, or Foundry</li><li>
Create interactive dashboards and reports to support operational and strategic decisions</li><li>
Ensure accuracy, quality, and usability of all data visualizations and deliverables</li></ul>
Integration &amp; System Support<ul><li>
Collaborate with data engineers, analysts, scientists, and stakeholders to deliver integrated data solutions</li><li>
Support real-time data streaming using Databricks Structured Streaming</li><li>
Optimize data storage solutions leveraging Delta Lake capabilities (e.g., schema evolution, time travel)</li></ul>
Governance &amp; Compliance<ul><li>
Maintain data lineage and governance using tools such as Collibra</li><li>
Ensure compliance with data security, privacy, and DoD requirements</li><li>
Establish and enforce data quality standards across multiple data sources</li></ul>
Collaboration &amp; Communication<ul><li>
Work closely with cross-functional teams to gather and refine requirements</li><li>
Communicate findings, recommendations, and metrics clearly and professionally</li><li>
Track assigned tasks and provide regular updates to leadership</li><li>
Mentor junior team members and support team development initiatives</li></ul><h3 class="jobSectionHeader">
Required Qualifications</h3><ul><li>
Active DoD Secret Clearance</li><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Engineering, or a related field</li><li>
5+ years of experience in data engineering and building data pipelines and architectures</li><li>
5+ years of experience in data analysis, data mining, or business intelligence</li><li>
3+ years of experience developing data solutions using Python, SQL, and/or PySpark in big data environments (e.g., Databricks, Snowflake)</li><li>
Strong experience with data visualization tools (Tableau, Power BI, Qlik, Foundry) and advanced Excel (macros, pivot tables, VBA)</li><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud</li><li>
Familiarity with big data frameworks (Hadoop, Spark, Kafka)</li><li>
Strong understanding of ETL processes, data warehousing, and BI best practices</li><li>
Proven ability to analyze large datasets and communicate insights effectively</li><li>
Strong problem-solving skills and attention to detail</li><li>
U.S. work authorization required</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Master&rsquo;s degree in Data Engineering, Computer Science, or related field</li><li>
Experience with DoD data platforms such as Advana and Jupiter</li><li>
Familiarity with statistical methods (e.g., hypothesis testing, regression analysis)</li><li>
Experience with SAP, Foundry, or advanced analytics platforms</li><li>
Experience with NoSQL databases (e.g., Cassandra, MongoDB)</li><li>
Knowledge of containerization tools (Docker, Kubernetes)</li><li>
Experience with version control systems (Git) and Agile methodologies (Scrum, Kanban)</li><li>
Prior experience in a client-facing government environment</li></ul><h3 class="jobSectionHeader">
Equal Employment Opportunity Statement</h3>
ShadowObjects, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.</div>

Data Analytics Engineer

hackajob

<div>
 
 
 hackajob
 
 is collaborating with
 
 IdeaCrew
 
 to connect them with exceptional professionals for this role.
 
 
 
 Junior Data Engineer
 
 
 Job Type: Full-Time
 
 
 Salary: $100,000 to $120,000 / year
 
 
 Full-Time
 
 
 <ul>
 <li>
 Washington, DC / Remote
 
 
 </li>
 </ul>
 IdeaCrew is currently seeking junior Data Engineers to join our innovative, hard-working team as we disrupt healthcare technology.
 
 
 As a member of our Analytics team, you will work with a modern data stack, build scalable data pipelines with python, and support external and internal reporting needs.
 
 
 A Junior Data Engineer for IdeaCrew will
 
 
 <ul>
 <li>
 Build and scale data pipelines in production environments using a modern data stack.
 </li>
 <li>
 Carry out complex analysis utilizing PostgresSQL.
 </li>
 <li>
 Implement data modeling best practices to support analytics and reporting needs.
 </li>
 <li>
 Design technical architectures and infrastructure components.
 </li>
 <li>
 Create automated data and code quality checks.
 </li>
 <li>
 Implement and enforce data governance policies and best practices to ensure data security and compliance.
 </li>
 <li>
 Work closely with cross-functional teams and stakeholders, including business process owners, analysts, and software engineers, to understand requirements and deliver solutions.
 </li>
 <li>
 Develop and maintain technical and process documentation such as data dictionaries, ERDs, data governance policies, etc.
 
 
 </li>
 </ul>
 
 Desired Skills &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field; equivalent professional experience will also be considered.
 </li>
 <li>
 3+ years of hands-on experience with Python for data processing in a production environment.
 </li>
 <li>
 2+ years of experience with PostgreSQL.
 </li>
 <li>
 Familiarity with NoSQL databases such as MongoDB or CouchDB is preferred.
 </li>
 <li>
 Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams.
 </li>
 <li>
 Strong understanding of the fundamentals of ETL processes, data pipelines, and data modeling concepts.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, GCP, Azure) in a production environment.
 </li>
 <li>
 Experience with the training and evaluation of machine learning models in consultation with stakeholders, SMEs, and other data scientists is a plus
 </li>
 </ul>
</div>

Junior Data Engineer

Openkyber

<div>About the Role We are seeking a highly skilled Data Engineer with demonstrated project management capabilities to join our growing data and analytics team in the Washington, DC metropolitan area. This role bridges technical data engineering with cross-functional coordination, making it ideal for professionals who thrive at the intersection of technology and delivery leadership. You will architect and build enterprise-scale data infrastructure while concurrently managing project timelines, stakeholder expectations, and team deliverables in a dynamic, mission-focused environment. Key Responsibilities Data Engineering Design, develop, and maintain scalable data pipelines using Apache Spark, Airflow, dbt, and cloud-native services (AWS, Azure, or Google Cloud Platform) Build and optimize data warehouse and Lakehouse architectures (Redshift, Snowflake, BigQuery, Databricks Delta Lake) Implement ELT/ETL processes to ingest structured and unstructured data from diverse federal, commercial, and third-party sources Develop and enforce data quality frameworks, validation rules, and monitoring alerts using tools such as Great Expectations or dbt tests Collaborate with data scientists and analysts to productionize ML models and analytical datasets Design and maintain data models (star/snowflake schemas, OBT) in alignment with business and reporting needs Ensure data platform security, access control, and compliance with federal regulations (FedRAMP, FISMA, NIST) where applicable Project Management Lead end-to-end delivery of data engineering projects - from scoping and requirements gathering through deployment and post-launch support Develop and maintain project plans, roadmaps, risk registers, and status reports for executive and stakeholder audiences Facilitate Agile ceremonies (sprint planning, standups, retrospectives) and manage backlog prioritization in Jira or Azure DevOps Coordinate cross-functional teams including data scientists, analysts, DevOps engineers, and business stakeholders Proactively identify and mitigate technical and schedule risks; escalate blockers with proposed solutions Manage vendor and contractor relationships, SOWs, and deliverable acceptance criteria Track and report on project KPIs including velocity, burn rate, and milestone completion Required Qualifications 3 to 5+ years of experience in data engineering roles with progressively increasing responsibility 2+ years of project or program management experience in a technical environment Proficiency in SQL and at least one scripting/programming language (Python or Scala strongly preferred) Hands-on experience with cloud platforms - AWS (Glue, Redshift, S3, Lambda), Azure (ADF, Synapse, ADLS), or Google Cloud Platform (Dataflow, BigQuery, Cloud Composer) Experience with workflow orchestration tools (Apache Airflow, Prefect, or Dagster) Solid understanding of data modeling principles, data warehousing, and lakehouse paradigms Demonstrated experience managing Agile/Scrum delivery using Jira, Azure DevOps, or similar tools Excellent written and verbal communication skills with the ability to present technical concepts to non-technical audiences Bachelor's degree in computer science, Information Systems, Engineering, or a related field Preferred Qualifications Experience supporting federal government clients or working in a cleared environment (clearance a plus) Familiarity with data governance frameworks, data cataloging tools (Collibra, Alation, Apache Atlas), and lineage tracking PMP, PMI-ACP, or Scrum Master (CSM/PSM) certification AWS Certified Data Analytics, Azure Data Engineer Associate, or equivalent cloud certification Experience with real-time streaming data (Apache Kafka, Kinesis, or Pub/Sub) Knowledge of CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation) for data platform deployments Master's degree in a quantitative or technical discipline Technical Stack Languages Python, SQL, Scala, Bash Cloud Platforms AWS, Azure, Google Cloud Platform Data Warehouses Snowflake, Redshift, BigQuery, Synapse Orchestration Apache Airflow, dbt, Prefect Streaming Apache Kafka, AWS Kinesis BI &amp; Visualization Power BI, Tableau, Looker DevOps / Infra Terraform, Docker, Kubernetes, GitHub Actions PM Tools Jira, Confluence, Azure DevOps, MS Project
For applications and inquiries, contact: hirings@openkyber.com</div>

Lead DevOps Engineer (GCP)

Imagineeer

<div><div><div>Benefits:</div>
<ul><li>401(k) matching</li>
<li>Competitive salary</li>
<li>Health insurance</li>
<li>Paid time off</li>
</ul></div><div><div>About this Role: 
</div>
<div> 
The Data Architect / Enterprise Data Analyst will provide data strategy, architecture, and analytics expertise to support enterprise data initiatives across the U.S. Department of Health and Human Services (HHS). This role will define and implement data architecture frameworks, data governance standards, and enterprise data management (EDM) solutions to improve data quality, accessibility, security, and interoperability across systems and organizations. 
</div>
<div> 
The ideal candidate will have experience working in federal data environments, including designing enterprise data models, developing data integration strategies, and supporting data modernization and cloud migration projects. The role also requires strong collaboration skills to work with IT leadership, system owners, data stewards, and mission stakeholders to enable informed decision-making through trusted and well-governed data. 
</div><div>Key Responsibilities: 
</div><ul><li>Develop logical data models aligned to HRIT product lines, ensuring full compliance with HHS data governance policies to support the modernization of Human Capital Management (HCM) capabilities.</li></ul> 
<ul><li>Develop a comprehensive Data Migration Plan, including a phased migration strategy, data transformation protocols, validation and testing procedures, and rollback contingencies to support the transition to the Target State of HRIT modules.</li></ul> 
<ul><li>Support the design, development, testing, and deployment of HRIT applications and APIs, ensuring seamless data integration across a consolidated and modernized HCM platform.</li></ul> 
<ul><li>Deliver a comprehensive data integrity approach, ensuring robust data quality checks are in place to support the unified platform.</li></ul> 
<ul><li>Collaborate with the Data Governance Architect to establish a robust Data Stewardship framework.</li></ul> 
<ul><li>Support the technical team in developing and testing integrations between enterprise systems, leveraging technologies such as Web Services, REST/SOAP APIs, and</li></ul> 
<div>Integration Broker. Perform rigorous testing to ensure accurate and reliable data transmission across interconnected applications. 
</div><ul><li>Develop reports, queries, and analytics solutions to support business intelligence and operational insights.</li></ul> 
<ul><li>Create and maintain technical documentation for all configurations, customizations, and integrations.</li></ul> 
<ul><li>Collaborate with functional analysts, DBAs, and infrastructure teams to optimize system performance and reliability.</li></ul> 
<ul><li>Support upgrades, patches, and maintenance activities with minimal operational disruption.</li></ul> 
<ul><li>Apply federal compliance best practices, including security (NIST), accessibility (Section 508), and records management.</li></ul> 
<ul><li>Provide mentorship to junior developers and contribute to team knowledge through code reviews and technical guidance.</li></ul><div> 
 
</div><div>Qualifications and Skills: 
</div><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related discipline.</li></ul> 
<ul><li>Proficient in SQL and relational database design, supporting scalable and efficient data solutions.</li></ul> 
<ul><li>Proven success working within federal government systems or comparable enterprise environments.</li></ul> 
<ul><li>At least 10 years of experience working as a Data Analyst, Data Modelling and/or Business Intelligence Domain.</li></ul><div> 
</div>
<ul><li>Eligible to obtain and maintain a Public Trust clearance/must be a US Citizen</li></ul> 
<ul><li>Certified in data governance and management (e.g., CDMP, DGCP).</li></ul> 
<ul><li>Hands-on experience implementing the Federal Data Strategy and supporting open data initiatives.</li></ul> 
<ul><li>In-depth knowledge of the Federal Enterprise Architecture Framework, including HHS EA (HHS-OCIO-OES-2024-10-005).</li></ul> 
<ul><li>Skilled in conducting data privacy impact assessments and applying NIST data security guidelines.</li></ul> 
<ul><li>Familiar with AI governance, and responsible machine learning practices.</li></ul> 
<ul><li>Proficient in cloud-based data governance, master data management, and data architecture principles.</li></ul> 
<ul><li>Experienced with business intelligence and data visualization tools.</li></ul> 
<ul><li>Knowledgeable in records management standards and federal compliance procedures.</li></ul> 
<div>Desired Skills and Competencies: 
</div><ul><li>Experience supporting HHS or other federal health agencies (CMS, NIH, HRSA, FDA, CDC).</li>
<li>Familiarity with federal data policies such as the Federal Data Strategy and CDO requirements.</li>
<li>Experience with enterprise data warehouses or data lakes.</li>
<li>Certifications such as CDMP, AWS Data Analytics, Azure Data Engineer, or DAMA.</li>
<li>Knowledge of FHIR, HL7, NIEM or federal data interoperability standards.</li>
<li>Experience with API integrations, service-oriented architecture (SOA), or microservices.</li>
</ul>
</div>Flexible work from home options available.</div>

Data Architect-Enterprise Data Analyst

Amivero

<div>
 
 Amivero Team
 
 
 
 Amivero&rsquo;s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge and reimagining with our customer how outcomes can be achieved.
 
 
 Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.
 
 
 As a member of the Amivero team you will use your empathy for a customer&rsquo;s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.
 
 
 
 Special Requirements
 
 
 
 <ul>
 <li>
 US Citizenship Required to obtain Public Trust
 </li>
 <li>
 Active DHS Clearance (preferred)
 </li>
 <li>
 Bachelor Degree + 10 years of experience
 </li>
 <li>
 3+ years of experience developing and optimizing solutions using Python or similar, with a strong focus on performance, scalability, and efficiency
 </li>
 <li>
 Extensive experience working with vector technology databases, designing and implementing solutions to efficiently store, search, and analyze high-dimensional data for real-time and large-scale applications
 
 
 
 </li>
 </ul>
 
 The Gist&hellip;
 
 
 
 The AI/ML Engineer designs, develops, trains, and deploys machine learning models to support predictive analytics, anomaly detection, and decision-support capabilities. This role integrates AI/ML solutions into operational workflows, collaborating with data, product, and engineering teams to ensure models are effective, scalable, and aligned with organizational objectives.
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models to support predictive analytics, anomaly detection, and decision-support tools.
 </li>
 <li>
 Integrate AI/ML solutions into operational systems and workflows to enhance automation and efficiency.
 </li>
 <li>
 Create and fine-tune algorithms for various tasks such as classification, regression, clustering, and recommendation systems.
 </li>
 <li>
 Preprocess, clean, and transform data to ensure high-quality inputs for model training.
 </li>
 <li>
 Develop models leveraging advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing.
 </li>
 <li>
 Build and maintain scalable and efficient data pipelines using Databricks and Hadoop/Cloudera.
 </li>
 <li>
 Implement ETL processes to clean, prepare, and transform large datasets for analysis and modeling.
 </li>
 <li>
 Ensure data integrity and quality throughout the data lifecycle.
 </li>
 <li>
 Evaluate model performance using appropriate metrics and implement improvements as needed.
 </li>
 <li>
 Collaborate with data engineers, product managers, and developers to align AI/ML solutions with program goals.
 </li>
 <li>
 Implement best practices for model versioning, deployment, monitoring, and retraining.
 </li>
 <li>
 Ensure compliance with data privacy, security, and regulatory standards in AI/ML workflows.
 </li>
 <li>
 Document model design, assumptions, data sources, and performance results.
 </li>
 <li>
 Stay current with emerging AI/ML technologies, frameworks, and research to enhance solutions.
 </li>
 <li>
 Mentor junior team members and contribute to knowledge sharing in AI/ML development practices.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; a master&rsquo;s degree preferred.
 </li>
 <li>
 A bachelor&rsquo;s degree with an additional three (3) or more years of relevant experience may substitute for a master&rsquo;s degree.
 </li>
 <li>
 Minimum of five (5) years of directly related experience in AI/ML development, data science, or applied analytics.
 </li>
 <li>
 Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
 </li>
 <li>
 Strong programming skills in Python, Java, or R; experience with APIs and integration into production systems.
 </li>
 <li>
 Knowledge of data preprocessing, feature engineering, model evaluation, and deployment pipelines.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
 </li>
 <li>
 Excellent analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Strong communication and collaboration skills, with the ability to work with cross-functional teams.
 </li>
 <li>
 Experience mentoring or guiding less experienced AI/ML engineers is a plus.
 
 
 
 </li>
 </ul>
 EOE/M/F/VET/DISABLED
 
 
 All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
</div>

AI/ML Developer

<div>About EAB

At EAB, our mission is to make education smarter and our communities stronger. We work with more than 2,800 institutions to drive transformative change through data-driven insights and best-in-class capabilities. From kindergarten to college to career, EAB partners with leaders and practitioners to accelerate progress and drive results across enrollment, student success, institutional strategy, data analytics, and advancement. We work with each partner differently, tailoring our portfolio of research, technology, and marketing and enrollment solutions to meet the unique needs of every leadership team, as well as the students and employees they serve.

At EAB, we serve not only our partner institutions but each other&mdash;that's why we are always working to make sure our employees love their jobs and are invested in their communities. See how we've been recognized for this dedication to our employees by checking out our recent awards.

For more information, visit our Careers page.

The Role in Brief:

Senior Data Engineer

The Senior Data Engineer, also referred to across the team as the Data Solutions Lead (DSL), will design, implement, manage and improve on data integration, warehousing, and analytics solutions for internal and external partners. In so doing, the DSL is responsible for maintaining EAB&rsquo;s best practices as they guide users&rsquo; interaction with EAB Technology, manage their requirements, integrate data from their applications to power EAB services and products, and render all required technical services and consulting to ensure data are returned in a useful, insightful, and consistent manner. We're looking for a leader who can operate at the intersection of data, product, and customer outcomes, understanding not just how systems are built, but how they deliver real value in practice.

This position is ideally based out of EAB&rsquo;s Washington, D.C. office or Richmond, VA office. It is also open to remote work within the continental U.S.

This hire may be required to travel to EAB&rsquo;s central office in Washington, D.C. on a quarterly basis, and occasionally visit partners to firm up engagement and kick off high-touch projects. The current travel expectation does not exceed 12 days a year.

This position is also posted at the Principal Data Engineer level; candidates are being considered at both levels for the current opening. 


Primary Responsibilities:
<ul>
<li>Lead project discovery for reporting and data solutions by facilitating external stakeholder calls, translating business questions into structured data needs and acceptance criteria, mapping data elements, identifying gaps and risks, and producing clear functional and technical requirements to guide design, build, and validation.</li>
<li>Support and advise technical leaders on system design and warehouse best practices, guiding teams and partners through complex data mapping and reconciliation challenges</li>
<li>Design end-to-end integration and analytic solutions including ETL pipelines, integrations between different platforms, data quality and freshness validations, and business intelligence visualizations</li>
<li>Independently break down, estimate, design, plan and deliver medium and large sized data-driven projects</li>
<li>Understand and communicate base integration requirements on applications interfacing between on-premise and cloud architecture, especially on AWS</li>
<li>Codify high-performing SQL for scalable data transformation to support replicable data pipelines</li>
<li>Identify, investigate, and resolve performance and production issues, proactively recognizing recurring patterns and developing scalable solutions to prevent future occurrences</li>
<li>Ensure high-quality deliverables by partnering with project teams to maintain accuracy, meet requirements, and drive measurable impact</li>
<li>Guide junior engineers on tasks and unit projects</li>
<li>Collaborate with development team and product managers to enhance existing product capabilities and develop new solutions</li></ul> 


Basic Qualifications:
<ul>
<li>Bachelor's degree in a related field or equivalent work experience</li>
<li>4+ years of advanced SQL programming experience, all syntaxes allowed, Postgres preferred</li>
<li>2+ years of basic Python programming experience on relational data management, including popular data management libraries</li>
<li>2+ years of cloud architecture scoping, design, and implementation work, AWS preferred</li>
<li>Deep understanding of how data flows across systems</li>
<li>Demonstrated problem-solving skills and ability to analyze problems and solve them creatively</li>
<li>Experience writing and code-reviewing complex stored procedures</li>
<li>Ability to ensure data integrity using standard rules, procedures, testing and validation</li>
<li>Detail-oriented with ability to multitask and adapt to changing priorities</li>
<li>Strong communication skills</li></ul> 


Ideal Qualifications:
<ul>
<li>Master&rsquo;s degree in related field or equivalent work experience</li>
<li>Experience communicating with external stakeholders and executives to strengthen integration of data systems, translate business needs into measurable impact, and advise on data enhancements and improvements
</li><li>Practical knowledge of how data warehouses are utilized and designed</li>
<li>SPM certifications or demonstrated planning, organizing and time management skills</li>
<li>Ability to work independently as well as collaborate with teammates to accomplish common goals in a fast-paced environment</li>
</ul><ul><li>Commitment to embracing a continual learning environment and contributing to a dynamic and welcoming culture of fairness, authenticity, and belonging in support of EAB&rsquo;s mission, values, and aspiration</li>
</ul>
If you&rsquo;ve reached this section of the job description and are unsure of whether to apply, please do! At EAB, we welcome new perspectives and learn from each other&rsquo;s unique experiences. We would encourage you to submit an application if this is a role you would be passionate about doing every day.

Compensation:

The anticipated starting salary range for this role is $85,500 &ndash; $110,000 per year. Actual salary varies due to factors that may include but not be limited to relevant experience, skills, and location. At EAB, it is not typical for an individual to be hired at or near the top of the starting salary range for their role.

This hire will additionally be eligible for discretionary bonus or incentive compensation. Variable compensation may depend on various factors, including, without limitation, individual and organizational performance.

Benefits:

Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package. Our benefits currently include:
<ul>
<li>Medical, dental, and vision insurance plans; dependents and domestic partners eligible</li>
<li>20+ days of PTO annually, in addition to paid firm and floating holidays</li>
<li>Daytime leave policy for community service and flextime for fitness activities (up to 10 hours per month each)</li>
<li>401(k) retirement savings plan with annual discretionary company matching contribution</li>
<li>Health savings account, healthcare and dependent care flexible spending account, and pre-tax commuter plans</li>
<li>Employee assistance program with counseling services and resources available to all employees and immediate family</li>
<li>Wellness programs including gym discounts, incentives to promote healthy living, and family access to the leading app for sleep, meditation, and relaxation</li>
<li>Fertility treatment coverage and adoption or surrogacy assistance</li>
<li>Paid parental leave with phase back to work program for birthing and non-birthing parents</li>
<li>Access to milk shipping service to support nursing employees during business travel</li>
<li>Discounted pet health insurance coverage for dog and cat family members</li>
<li>Company-provided life, AD&amp;D, and disability insurance</li>
<li>Financial wellness resources and membership in a robust employee discount program</li>
<li>Access to employee resource groups, merit-based advancement, and dynamic professional growth opportunities</li>
</ul>
Benefits kick in day one; learn more at eab.com/careers/benefits.
This opening is not eligible for visa sponsorship at this time; EAB will thus consider candidates who possess U.S. work authorization that does not require employment-based visa sponsorship now or in the future.

At EAB, we believe that to fulfill our mission to &ldquo;make education smarter and our communities stronger&rdquo; we need team members who bring a diversity of perspectives to the table and a workplace where each team member is valued, respected and heard.

To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don&rsquo;t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.</div>

Senior Data Engineer

<div>About EAB

At EAB, our mission is to make education smarter and our communities stronger. We work with more than 2,800 institutions to drive transformative change through data-driven insights and best-in-class capabilities. From kindergarten to college to career, EAB partners with leaders and practitioners to accelerate progress and drive results across enrollment, student success, institutional strategy, data analytics, and advancement. We work with each partner differently, tailoring our portfolio of research, technology, and marketing and enrollment solutions to meet the unique needs of every leadership team, as well as the students and employees they serve.

At EAB, we serve not only our partner institutions but each other&mdash;that's why we are always working to make sure our employees love their jobs and are invested in their communities. See how we've been recognized for this dedication to our employees by checking out our recent awards.

For more information, visit our Careers page.

The Role in Brief:

Principal Data Engineer

The Principal Data Engineer, also referred to across the team as the Data Solutions Lead (DSL), will design, implement, manage and improve on data integration, warehousing, and analytics solutions for internal and external partners. In so doing, the DSL is responsible for maintaining EAB&rsquo;s best practices as they guide users&rsquo; interaction with EAB Technology, manage their requirements, integrate data from their applications to power EAB services and products, and render all required technical services and consulting to ensure data are returned in a useful, insightful, and consistent manner. We're looking for a leader who can operate at the intersection of data, product, and customer outcomes, understanding not just how systems are built, but how they deliver real value in practice.

This position is ideally based out of EAB&rsquo;s Washington, D.C. office or Richmond, VA office. It is also open to remote work within the continental U.S.

This hire may be required to travel to EAB&rsquo;s central office in Washington, D.C. on a quarterly basis, and occasionally visit partners to firm up engagement and kick off high-touch projects. The current travel expectation does not exceed 12 days a year.

This position is also posted at the Senior Data Engineer level; candidates are being considered at both levels for the current opening.

Primary Responsibilities:
<ul>
<li>Lead project discovery for reporting and data solutions by facilitating external stakeholder calls, translating business questions into structured data needs and acceptance criteria, mapping data elements, identifying gaps and risks, and producing clear functional and technical requirements to guide design, build, and validation.</li>
<li>Support and advise technical leaders on system design and warehouse best practices, guiding teams and partners through complex data mapping and reconciliation challenges</li>
<li>Design end-to-end integration and analytic solutions including ETL pipelines, integrations between different platforms, data quality and freshness validations, and business intelligence visualizations</li>
<li>Independently break down, estimate, design, plan and deliver medium and large sized data-driven projects</li>
<li>Understand and communicate base integration requirements on applications interfacing between on-premise and cloud architecture, especially on AWS</li>
<li>Codify high-performing SQL for scalable data transformation to support replicable data pipelines</li>
<li>Identify, investigate, and resolve performance and production issues, proactively recognizing recurring patterns and developing scalable solutions to prevent future occurrences</li>
<li>Ensure high-quality deliverables by partnering with project teams to maintain accuracy, meet requirements, and drive measurable impact</li>
<li>Guide junior engineers on tasks and unit projects</li>
<li>Collaborate with development team and product managers to enhance existing product capabilities and develop new solutions</li></ul> 


Basic Qualifications:
<ul>
<li>Bachelor's degree in a related field or equivalent work experience</li>
<li>8+ years of advanced SQL programming experience, all syntaxes allowed, Postgres preferred</li>
<li>2+ years of basic Python programming experience on relational data management, including popular data management libraries</li>
<li>2+ years of cloud architecture scoping, design, and implementation work, AWS preferred</li>
<li>Deep understanding of how data flows across systems</li>
<li>Demonstrated problem-solving skills and ability to analyze problems and solve them creatively</li>
<li>Experience writing and code-reviewing complex stored procedures</li>
<li>Ability to ensure data integrity using standard rules, procedures, testing and validation</li>
<li>Detail-oriented with ability to multitask and adapt to changing priorities</li>
<li>Strong communication skills</li></ul> 


Ideal Qualifications:
<ul>
<li>Master&rsquo;s degree in related field or equivalent work experience</li>
<li>Experience communicating with external stakeholders and executives to strengthen integration of data systems, translate business needs into measurable impact, and advise on data enhancements and improvements
</li><li>Practical knowledge of how data warehouses are utilized and designed</li>
<li>SPM certifications or demonstrated planning, organizing and time management skills</li>
<li>Ability to work independently as well as collaborate with teammates to accomplish common goals in a fast-paced environment</li>
</ul><ul><li>Commitment to embracing a continual learning environment and contributing to a dynamic and welcoming culture of fairness, authenticity, and belonging in support of EAB&rsquo;s mission, values, and aspiration</li>
</ul>
If you&rsquo;ve reached this section of the job description and are unsure of whether to apply, please do! At EAB, we welcome new perspectives and learn from each other&rsquo;s unique experiences. We would encourage you to submit an application if this is a role you would be passionate about doing every day.

Compensation:

The anticipated starting salary range for this role is $91,500 &ndash; $130,000 per year. Actual salary varies due to factors that may include but not be limited to relevant experience, skills, and location. At EAB, it is not typical for an individual to be hired at or near the top of the starting salary range for their role.

This hire will additionally be eligible for discretionary bonus or incentive compensation. Variable compensation may depend on various factors, including, without limitation, individual and organizational performance.

Benefits:

Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package. Our benefits currently include:
<ul>
<li>Medical, dental, and vision insurance plans; dependents and domestic partners eligible</li>
<li>20+ days of PTO annually, in addition to paid firm and floating holidays</li>
<li>Daytime leave policy for community service and flextime for fitness activities (up to 10 hours per month each)</li>
<li>401(k) retirement savings plan with annual discretionary company matching contribution</li>
<li>Health savings account, healthcare and dependent care flexible spending account, and pre-tax commuter plans</li>
<li>Employee assistance program with counseling services and resources available to all employees and immediate family</li>
<li>Wellness programs including gym discounts, incentives to promote healthy living, and family access to the leading app for sleep, meditation, and relaxation</li>
<li>Fertility treatment coverage and adoption or surrogacy assistance</li>
<li>Paid parental leave with phase back to work program for birthing and non-birthing parents</li>
<li>Access to milk shipping service to support nursing employees during business travel</li>
<li>Discounted pet health insurance coverage for dog and cat family members</li>
<li>Company-provided life, AD&amp;D, and disability insurance</li>
<li>Financial wellness resources and membership in a robust employee discount program</li>
<li>Access to employee resource groups, merit-based advancement, and dynamic professional growth opportunities</li>
</ul>
Benefits kick in day one; learn more at eab.com/careers/benefits.
This opening is not eligible for visa sponsorship at this time; EAB will thus consider candidates who possess U.S. work authorization that does not require employment-based visa sponsorship now or in the future.

At EAB, we believe that to fulfill our mission to &ldquo;make education smarter and our communities stronger&rdquo; we need team members who bring a diversity of perspectives to the table and a workplace where each team member is valued, respected and heard.

To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don&rsquo;t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.</div>

Principal Data Engineer

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