data engineering lead

Staffed4U

<div><h2 class="jobSectionHeader"><b>Software Engineer III (Senior Full Stack Data Visualization Engineering Lead)</b></h2>
<p><b>Job Type:</b> Full-Time<br>
<b>Location:</b> Columbia, Maryland<br>
<b>Clearance Requirement:</b> Active TS/SCI with polygraph</p>
<p></p><h3 class="jobSectionHeader"><b>Position Overview</b></h3>
<p>The Software Engineer will operate in a fast-paced development environment focused on delivering tools that transform complex data into actionable intelligence. This senior-level role emphasizes leading the design, development, and enhancement of content presentation tools that enable users to effectively view and interact with data. The engineer will collaborate across teams to modernize systems, improve data parsing and visualization capabilities, and ensure solutions support mission-critical analysis and decision-making.</p>
<p></p><h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Lead the design and development of software features for data presentation and visualization tools</li>
<li>Enhance and modernize existing systems to improve performance, usability, and scalability</li>
<li>Develop and optimize capabilities for parsing and displaying complex datasets</li>
<li>Collaborate with cross-functional teams to deliver high-quality, user-focused solutions</li>
<li>Troubleshoot complex defects and provide technical guidance on issue resolution</li>
<li>Support development of interactive, responsive user interfaces for data exploration</li>
<li>Contribute to architectural decisions and technical direction of the platform</li>
<li>Translate complex data into meaningful, user-driven insights</li>
</ul><p></p><h3 class="jobSectionHeader"><b>Minimum Qualifications</b></h3>
<ul><li>Active TS/SCI with Polygraph clearance</li>
<li>Bachelor&rsquo;s degree in Computer Science or related discipline
<ul><li><b>Substitution:</b> Four (4) additional years of Software Engineering experience on similar projects may be substituted for a bachelor&rsquo;s degree</li>
</ul></li><li>Twenty (20) years of Software Engineering experience
<ul><li><b>Alternative:</b> Twenty-four (24) years of experience without a degree</li>
</ul></li></ul><p></p><h3 class="jobSectionHeader"><b>Required Technical Skills</b></h3>
<ul><li>Extensive development experience with Java</li>
<li>Strong experience with JavaScript and TypeScript</li>
<li>Proficiency in front-end technologies, including HTML and CSS</li>
<li>Experience developing full stack applications with a focus on data visualization and user interaction</li>
</ul><p></p><h3 class="jobSectionHeader"><b>Desired Qualifications</b></h3>
<ul><li>Experience with React and Material UI</li>
<li>Familiarity with containerization technologies such as Docker and Kubernetes</li>
<li>Experience with Rancher for container management</li>
<li>Experience with CI/CD pipelines, including GitLab pipelines</li>
<li>Experience leading development efforts and mentoring junior engineers</li>
</ul><p></p><h3 class="jobSectionHeader"><b>Benefits and Compensation:</b></h3>
<p><b>Health and Insurance Coverage:</b></p>
<ul><li><p>Comprehensive medical, dental, and vision insurance for full-time employees and eligible dependents.</p>
</li>
<li><p>Employer-paid premiums for select high-quality medical plans, with additional plan options available to meet varying needs.</p>
</li>
<li><p>Employer-paid dental and vision coverage.</p>
</li>
<li><p>Employer-paid basic life insurance, accidental death and dismemberment (AD&amp;D), short-term disability, and long-term disability coverage.</p>
</li>
<li><p>Optional supplemental insurance coverage available for employees and eligible dependents.</p>
</li>
</ul><p><b>Retirement Benefits:</b></p>
<ul><li><p>Employer contributions to a 401(k) retirement plan equal to 10% of salary each pay period.</p>
</li>
<li><p>No employee contribution required to receive employer contributions.</p>
</li>
<li><p>Immediate vesting of employer contributions upon hire.</p>
</li>
</ul><p><b>Incentives and Bonuses:</b></p>
<ul><li><p>Employee referral bonus program, including initial and retention incentives.</p>
</li>
<li><p>Annual performance-based bonus eligibility.</p>
</li>
</ul><p><b>Leave and Work-Life Balance:</b></p>
<ul><li><p>Four (4) weeks of paid annual leave.</p>
</li>
<li><p>Eleven (11) paid federal holidays, with flexible scheduling options where permitted.</p>
</li>
<li><p>Telework opportunities based on role and contract requirements.</p>
</li>
<li><p>Additional administrative leave for inclement weather or operational disruptions where telework is not feasible.</p>
</li>
<li><p>Bereavement leave for immediate family members.</p>
</li>
<li><p>Parental leave for birth or adoption, with potential eligibility for short-term disability benefits.</p>
</li>
</ul><p><b>Professional Development:</b></p>
<ul><li><p>Annual education reimbursement (up to $5,250) for accredited degree programs relevant to job responsibilities.</p>
</li>
<li><p>Additional funding for professional development, including training, certifications, and industry conferences.</p>
</li>
</ul><p><b>Equipment and Allowances:</b></p>
<ul><li><p>Reimbursement (up to $1,000 every two years) for home office and technical equipment.</p>
</li>
<li><p>Annual allowance for professional apparel and related items.</p>
</li>
</ul><p><b>Wellness and Employee Support:</b></p>
<ul><li><p>Monthly wellness stipend to support fitness memberships, programs, equipment, or recreational activities.</p>
</li>
<li><p>Access to programs and resources supporting physical, mental, and financial well-being.</p>
</li>
</ul><p><b>Recognition and Culture:</b></p>
<ul><li><p>Formal employee recognition program with opportunities for awards and incentives.</p>
</li>
<li><p>Participation in employee engagement initiatives, team events, and organizational activities designed to promote collaboration and workplace satisfaction.</p>
</li>
</ul><p></p><h3 class="jobSectionHeader"><b>Additional Information:</b></h3>
<ul><li>Candidates may be required to complete technical assessments as part of the selection process.</li>
</ul><p></p><h3 class="jobSectionHeader"><b>Equal Opportunity Employer</b></h3>
<p>We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.</p></div>

Software Engineer III (Senior Full-Stack Data Visualization Engineering Lead)

Systems Limited

<div>
 <p>
  We are seeking an experienced Fabric Data Engineering Architect to design, implement, and manage scalable data solutions using Microsoft Fabric.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design and architect end-to-end data solutions using Microsoft Fabric (Lakehouse, Data Warehouse, Data Factory, Real-Time Analytics).
  </li>
  <li>
   Lead the development of scalable and high-performance data pipelines for batch and real-time processing.
  </li>
  <li>
   Define data architecture standards, governance, security, and best practices across the organization.
  </li>
  <li>
   Collaborate with business stakeholders, data scientists, and engineering teams to translate business requirements into technical solutions.
  </li>
  <li>
   Implement and optimize data models (dimensional &amp; normalized) for analytics and reporting.
  </li>
  <li>
   Ensure data quality, reliability, and performance tuning across data platforms.
  </li>
  <li>
   Drive integration with external systems, APIs, and third-party data sources.
  </li>
  <li>
   Mentor and guide data engineering teams on Fabric and modern data engineering practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirement:
  </strong>
 </p>
 <ul>
  <li>
   10&ndash;15+ years of experience in Data Engineering / Data Architecture.
  </li>
  <li>
   Strong hands-on experience with Microsoft Fabric components: Lakehouse, Data Factory (pipelines), Synapse Data Engineering / Data Warehouse and Power BI integration
  </li>
  <li>
   Expertise in SQL, Python, and Spark (PySpark preferred).
  </li>
  <li>
   Experience with data modeling techniques (Star Schema, Snowflake Schema).
  </li>
  <li>
   Strong understanding of ETL/ELT frameworks and data pipeline orchestration.
  </li>
  <li>
   Experience with cloud platforms (Azure preferred).
  </li>
  <li>
   Knowledge of data governance, security, and compliance practices.
  </li>
  <li>
   Experience with Azure Data Services (ADLS, Azure Synapse, Databricks).
  </li>
 </ul>
 <p>
 </p>
</div>


Data Architect - Fabric

PetroApp

<p></p><div>About the role<p>
We are looking for a highly capable, hands-on Data Lead to build and scale PetroApp&rsquo;s data function.</p><p>
This role will own the end-to-end data roadmap across analytics, business intelligence, data engineering, governance, and advanced analytics use cases. You will work closely with Product, Engineering, Operations, Commercial, Finance, and Leadership to make data a core competitive advantage for PetroApp.</p><p>
You will be responsible for building a trusted data foundation, defining the right KPIs, improving decision-making across the company, and enabling high-impact use cases such as transaction analytics, customer growth, fraud/anomaly detection, operational efficiency, and unit economics.</p><p></p>
Key responsibilities<ul><li>
Define and own PetroApp&rsquo;s data strategy, roadmap, and operating model.</li><li>
Build and scale the company&rsquo;s data foundation, including ingestion, transformation, modeling, warehousing, and self-service analytics.</li><li>
Create a single source of truth for key business and product metrics.</li><li>
Partner with Product and Engineering to improve instrumentation, event tracking, experimentation, and measurement.</li><li>
Partner with Commercial, Operations, Finance, and Leadership to deliver actionable insights and decision-ready dashboards.</li><li>
Design KPI frameworks for areas such as customer growth, retention, transaction performance, service adoption, operational efficiency, fraud/leakage, and profitability.</li><li>
Build dashboards, reporting layers, and analytical models that support both day-to-day execution and executive decision-making.</li><li>
Establish strong data governance practices, including data quality checks, lineage, documentation, definitions, access controls, and privacy standards.</li><li>
Identify and prioritize high-value use cases for advanced analytics, forecasting, anomaly detection, and automation.</li><li>
Lead root-cause analysis on business or operational issues and convert findings into measurable actions.</li><li>
Hire, mentor, and grow a lean, high-performing data team over time.</li><li>
Act as the internal champion for a strong data culture across PetroApp.</li></ul><br>
<b>
Requirements</b><br>
<p></p><ul><li>
10+ years of experience across data analytics, business intelligence, analytics engineering, data engineering, or related fields.</li><li>
2+ years leading major data initiatives, squads, or teams.</li><li>
Strong hands-on expertise in SQL and Python.</li><li>
Experience with modern cloud data stacks and tools such as data warehouses, ETL/ELT pipelines, orchestration tools, transformation frameworks, and BI platforms.</li><li>
Strong experience designing dashboards and reporting for business and executive stakeholders.</li><li>
Proven ability to define KPIs, create semantic consistency, and translate ambiguous business questions into structured analysis.</li><li>
Strong understanding of data modeling, pipeline design, and analytics best practices.</li><li>
Experience working in high-growth environments with cross-functional stakeholders.</li><li>
Excellent communication skills with the ability to influence both technical and non-technical audiences.</li>
Strong ownership mindset and willingness to operate hands-on.<br>
<li>
</li></ul>
Preferred experience<ul><li>
Experience in SaaS, fintech, payments, mobility, logistics, fleet management, marketplaces, or other transaction-heavy businesses.</li><li>
Experience with fraud analytics, anomaly detection, risk analytics, or reconciliation-heavy environments.</li><li>
Experience building data capabilities in a scaling company, including hiring and team design.</li><li>
Familiarity with experimentation, forecasting, segmentation, and behavioral analytics.</li><li>
Exposure to data governance, privacy, and access management in regulated or sensitive environments.</li></ul><p></p>
Why join this role<p>
This is an opportunity to build the data function at the center of a scaling business. The Data Lead will shape how PetroApp measures performance, prioritizes opportunities, reduces leakage, improves customer outcomes, and scales intelligently.</p><p></p><b><br>
Benefits</b><br>
<p></p><ul><li>
You will own and shape the security function in a high-impact, hands-on lead role.</li><li>
You&rsquo;ll work at the intersection of security, reliability, and platform engineering, directly influencing how PetroApp scales.</li><li>
Opportunity to work with a modern tech stack and a team that values pragmatism, automation, and continuous improvement.</li><li>
A culture that cares about doing the right thing for customers and partners, with leadership support for investing in security and reliability.</li></ul></div>

Lead Data Engineer

PetroApp | بتروآب

<div>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a highly capable, hands-on Data Lead to build and scale PetroApp's data function.
 <br/>
 <br/>
 This role will own the end-to-end data roadmap across analytics, business intelligence, data engineering, governance, and advanced analytics use cases. You will work closely with Product, Engineering, Operations, Commercial, Finance, and Leadership to make data a core competitive advantage for PetroApp.
 <br/>
 <br/>
 You will be responsible for building a trusted data foundation, defining the right KPIs, improving decision-making across the company, and enabling high-impact use cases such as transaction analytics, customer growth, fraud/anomaly detection, operational efficiency, and unit economics.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define and own PetroApp's data strategy, roadmap, and operating model
  </li>
  <li>
   Build and scale the company's data foundation, including ingestion, transformation, modeling, warehousing, and self-service analytics
  </li>
  <li>
   Create a single source of truth for key business and product metrics
  </li>
  <li>
   Partner with Product and Engineering to improve instrumentation, event tracking, experimentation, and measurement
  </li>
  <li>
   Partner with Commercial, Operations, Finance, and Leadership to deliver actionable insights and decision-ready dashboards
  </li>
  <li>
   Design KPI frameworks for areas such as customer growth, retention, transaction performance, service adoption, operational efficiency, fraud/leakage, and profitability
  </li>
  <li>
   Build dashboards, reporting layers, and analytical models that support both day-to-day execution and executive decision-making
  </li>
  <li>
   Establish strong data governance practices, including data quality checks, lineage, documentation, definitions, access controls, and privacy standards
  </li>
  <li>
   Identify and prioritize high-value use cases for advanced analytics, forecasting, anomaly detection, and automation
  </li>
  <li>
   Lead root-cause analysis on business or operational issues and convert findings into measurable actions
  </li>
  <li>
   Hire, mentor, and grow a lean, high-performing data team over time
  </li>
  <li>
   Act as the internal champion for a strong data culture across PetroApp
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   10+ years of experience across data analytics, business intelligence, analytics engineering, data engineering, or related fields
  </li>
  <li>
   2+ years leading major data initiatives, squads, or teams
  </li>
  <li>
   Strong hands-on expertise in SQL and Python
  </li>
  <li>
   Experience with modern cloud data stacks and tools such as data warehouses, ETL/ELT pipelines, orchestration tools, transformation frameworks, and BI platforms
  </li>
  <li>
   Strong experience designing dashboards and reporting for business and executive stakeholders
  </li>
  <li>
   Proven ability to define KPIs, create semantic consistency, and translate ambiguous business questions into structured analysis
  </li>
  <li>
   Strong understanding of data modeling, pipeline design, and analytics best practices
  </li>
  <li>
   Experience working in high-growth environments with cross-functional stakeholders
  </li>
  <li>
   Excellent communication skills with the ability to influence both technical and non-technical audiences
  </li>
  <li>
   Strong ownership mindset and willingness to operate hands-on
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in SaaS, fintech, payments, mobility, logistics, fleet management, marketplaces, or other transaction-heavy businesses
  </li>
  <li>
   Experience with fraud analytics, anomaly detection, risk analytics, or reconciliation-heavy environments
  </li>
  <li>
   Experience building data capabilities in a scaling company, including hiring and team design
  </li>
  <li>
   Familiarity with experimentation, forecasting, segmentation, and behavioral analytics
  </li>
  <li>
   Exposure to data governance, privacy, and access management in regulated or sensitive environments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why join this role
  <br/>
  <br/>
 </strong>
 This is an opportunity to build the data function at the center of a scaling business. The Data Lead will shape how PetroApp measures performance, prioritizes opportunities, reduces leakage, improves customer outcomes, and scales intelligently.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will own and shape the security function in a high-impact, hands-on lead role
  </li>
  <li>
   You'll work at the intersection of security, reliability, and platform engineering, directly influencing how PetroApp scales
  </li>
  <li>
   Opportunity to work with a modern tech stack and a team that values pragmatism, automation, and continuous improvement
  </li>
  <li>
   A culture that cares about doing the right thing for customers and partners, with leadership support for investing in security and reliability
  </li>
 </ul>
</div>


MASTER-WORKS

<p></p><div><b>Technical Lead &ndash; Data &amp; AI Innovation</b><b>Role Overview</b><p>
As a Technical Lead at <b>Master Works</b>, you will spearhead the design, development, and delivery of cutting-edge data and AI innovation projects. This role requires a strategic technical mind to guide engineering teams and ensure that every solution aligns with the company&rsquo;s mission of delivering high-impact business value and maintaining its market leadership in the technology sector.</p><b>
Key Responsibilities</b><ul><li><b>
Architectural Leadership:</b> Architect and oversee the implementation of enterprise-grade data, analytics, and AI/ML solutions.</li><li><b>
Technical Execution:</b> Lead technical execution across cross-functional teams to ensure seamless delivery and high-quality outputs.</li><li><b>
Innovation &amp; Experiments:</b> Drive Proof of Concepts (POCs), pilot programs, and innovation experiments utilizing emerging data and AI technologies.</li><li><b>
Strategic Roadmap:</b> Translate complex business requirements into scalable technical roadmaps and robust solution designs.</li><li><b>
Governance &amp; Compliance:</b> Ensure all delivered solutions adhere to the highest standards of quality, security, and data/AI governance.</li><li><b>
Stakeholder Management:</b> Effectively communicate project milestones, technical risks, and strategic insights to all key stakeholders.</li><li><b>
Vendor Collaboration:</b> Partner with multiple vendors and internal departments to ensure the realization of intended organizational value.</li></ul><b>
Qualifications &amp; Requirements</b><ul><li><b>
Years of Experience:</b> A minimum of <b>10+ years</b> of professional experience in technical leadership or senior engineering roles.</li><li><b>
Domain Expertise:</b> Extensive experience in delivering end-to-end solutions within data engineering, data visualization, and AI/ML domains.</li><li><b>
Proven Track Record:</b> Demonstrated success in transitioning data and AI solutions from experimental phases (POC) to production-grade environments.</li><li><b>
Leadership &amp; Communication:</b> Exceptional leadership skills with the ability to solve complex problems and communicate technical concepts to non-technical audiences.</li><li><b>
Education:</b> Bachelor&rsquo;s degree in Computer Science, Computer Engineering, or a related technical field.</li></ul><b>
Technical Stack &amp; Tools</b><p>
The ideal candidate must possess hands-on expertise in the following (but not limited to):</p><ul><li><b>
ETL &amp; Integration:</b> <b>Informatica IDMC</b> for enterprise data integration and management.</li><li><b>
BI &amp; Analytics:</b> <b>SQL Server</b> and <b>Power BI</b> for advanced business intelligence and reporting.</li><li><b>
AI &amp; Advanced Analytics:</b> <b>Dataiku</b> for building, deploying, and scaling AI and analytical applications.</li></ul></div>

Technical lead

H2o Labs

<p><b>About the Role</b></p><p>We are seeking a highly skilled and experienced <b>Senior / Lead Data Engineer</b> to design, build, and maintain scalable, reliable, and high-performance data systems.</p><p>In this role, you will take ownership of data platforms, lead cross-functional initiatives, and enable analytics, machine learning, and business intelligence across the organization. You will play a key role in shaping data architecture, ensuring data quality and governance, and supporting data-driven decision-making.</p><p><b>Key ResponsibilitiesData Architecture &amp; Modeling</b></p><ul><li>Design and implement scalable data models (star schema, fact/dimension tables)</li><li>Develop conceptual, logical, and physical data models</li><li>Build enterprise data warehouse solutions with high performance and scalability</li><li>Define and enforce data modeling standards and best practices</li></ul><p><b>Data Engineering &amp; Pipeline Development</b></p><ul><li>Build and maintain end-to-end data pipelines (ingestion &rarr; transformation &rarr; serving)</li><li>Develop ETL/ELT processes using modern tools and frameworks</li><li>Implement data validation pipelines and staging layers</li><li>Optimize SQL queries, indexing, and database performance</li></ul><p><b>Data Platform Reliability &amp; Observability</b></p><ul><li>Ensure reliability and integrity of data pipelines</li><li>Build monitoring dashboards and alerting systems</li><li>Implement data quality checks and schema enforcement</li><li>Lead incident management and root cause analysis</li></ul><p><b>Data Governance &amp; Quality</b></p><ul><li>Establish data governance frameworks and policies</li><li>Ensure data integrity, lineage, and compliance</li><li>Manage access controls and data security</li><li>Maintain separation between core datasets and analytics layers</li></ul><p><b>Cloud &amp; Big Data Integration</b></p><ul><li>Integrate systems with data lakes and large-scale platforms</li><li>Work with cloud environments (AWS preferred)</li><li>Utilize tools such as AWS Glue, Lambda, Redshift, or Snowflake</li><li>Design scalable and cost-efficient data solutions</li></ul><p><b>Analytics Engineering &amp; Data Products</b></p><ul><li>Build and deliver data products for analysts and data scientists</li><li>Develop reusable frameworks for transformation and orchestration</li><li>Support advanced analytics and reporting</li></ul><p><b>CI/CD &amp; DevOps for Data</b></p><ul><li>Implement CI/CD pipelines for data workflows</li><li>Automate testing, deployment, and validation</li><li>Use version control tools (Git/GitHub)</li><li>Ensure high availability and disaster recovery</li></ul><p><b>Programming &amp; Tools</b></p><ul><li>Strong expertise in SQL (advanced level)</li><li>Proficiency in Python for automation and data processing</li><li>Experience with tools such as dbt, DBeaver, and orchestration tools (e.g., Dagster)</li></ul><p><b>Leadership &amp; Collaboration</b></p><ul><li>Lead technical initiatives and mentor junior engineers</li><li>Conduct code reviews and architecture discussions</li><li>Collaborate with engineering, product, and business teams</li><li>Translate business requirements into scalable data solutions</li></ul><p><b>Requirements</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, IT, or related field</li><li>4&ndash;5+ years of experience in Data Engineering or related roles</li><li>Strong expertise in data modeling, SQL, and ETL/ELT pipelines</li><li>Experience with data warehousing and data lakes</li><li>Hands-on experience with cloud platforms (AWS preferred)</li><li>Strong understanding of system design and scalable architecture</li><li>Excellent communication and stakeholder management skills</li><li>Ability to work in fast-paced, agile environments</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Experience with AWS services (Glue, Lambda, etc.)</li><li>Experience with Snowflake or Redshift</li><li>Strong hands-on experience with dbt</li><li>Knowledge of machine learning data pipelines</li><li>Certifications (SQL Server, CDMP, MCSA, or similar)</li><li>Experience in regulated industries (Healthcare, Defense, etc.)</li><li>Familiarity with CI/CD, data governance, and FinOps practices</li></ul><p>Job Type: Full-time</p><p>Pay: Rs250,000.00 - Rs400,000.00 per month</p><p>Work Location: In person</p>

Senior Data Engineer

Altamira Technologies Corp.

<div><div><div><p>Altamira Technologies is seeking an experienced Data Engineer to join our growing team in Centennial, CO. The selected candidate will be primarily focused on data engineering requirements and will also serve as Data Engineering IPT Lead.</p></div><div><p>
Data ontologies play a crucial role in enhancing data discoverability, improving data quality, and enabling advanced analytics. By providing a clear structure for data, they help organizations make informed decisions based on accurate and well-organized information. Defining the relationships between various data entities enables better data integration, interoperability, and analysis.</p></div><div><p>
 To be effective in this role, the candidate will need to develop data ontologies that serve as structured frameworks to help understand and manage data more effectively.</p></div><div><p>
</p></div><div><p><b>
Roles and Responsibilities</b></p></div><div><ul><li><div>
Create ontologies that define the concepts, categories, and relationships relevant to ingested data. This involves identifying key entities and their attributes, as well as how they relate to one another.</div></li></ul></div><div><ul><li><div>
Ensure that data from different sources can be integrated seamlessly. Map data from various systems to a common ontology, facilitating easier data sharing and collaboration amongst stakeholders</div></li></ul></div><div><ul><li><div>
Work with Subject Matter Experts to reach consensus on how the ontology&rsquo;s structure is designed, including the precise meanings of key words.</div></li></ul></div><div><ul><li><div>
Serve as the data custodian, responsible for its provenance, accuracy, and location throughout project execution</div></li></ul></div><div><ul><li><div>
Coordinate and participate in Technical Exchange Meetings with data stakeholders for both ingest and export. Understand customer's goals and deficiencies and propose potential solutions for capability improvement for either side of the interface</div></li></ul></div><div><ul><li><div>
Identify, gather, and organize critical technical metadata to enrich the data catalog and enable effective data discovery</div></li></ul></div><div><ul><li><div>
Create visual representations of available data, to include data catalogues, in innovative ways to help data stakeholders discover relevant information necessary for mission execution</div></li></ul></div><div><ul><li><div>
Create and maintain charts, graphs, and dashboards to make complex data understandable for stakeholders</div></li></ul></div><div><ul><li><div>
With a modeling focus, build statistical tools and techniques to explore and analyze data, identifying trends, patterns, and relationships</div></li></ul></div><div><ul><li><div>
IPT Lead - willingness to perform interviews, select candidates and provide overall team leadership for expanding data engineering team</div></li></ul></div><div><p>
 <b>Tech Stack</b></p></div><div><ul><li><div>
Versed in data cataloguing tools (e.g. DataHub, OpenMetadata)</div></li></ul></div><div><ul><li><div>
Visualization tools (e.g. Kibana, Grafana)</div></li></ul></div><div><ul><li><div>
Common schemas (e.g. xsd, OpenAPI, MIL-SPECS)</div></li></ul></div><div><ul><li><div>
Experience in scripting language (e.g. python, bash, MATLAB)</div></li></ul></div><div><ul><li><div>
Microsoft Office suite with advanced Excel capabilities</div></li></ul></div></div><div><div><ul><li><div>
Agile tools including Confluence and Jira</div></li></ul></div><div><ul><li><div>
Nice to have: Experience with ontology tools (e.g. Protege)</div></li></ul></div><div><ul><li><div>
Nice to have: Graph database (e.g. Neo4j, OrientDB)</div></li></ul></div><div><p><b>
Education and Experience</b></p></div><div><ul><li><div>
Bachelor&rsquo;s Degree in technical field</div></li></ul></div><div><ul><li><div>
5+ years experience in data engineering</div></li></ul></div><div><ul><li><div>
Well versed in Extract, Transforms, Load (ETL) techniques and technologies, and will also be familiar with a variety of database types, schemas, and ontologies</div></li></ul></div><div><ul><li><div>
While a heavy programming background is not required, sufficient technical knowledge in computer languages such as java is valuable</div></li></ul></div><div><ul><li><div>
Experience in various areas of data transport to include RESTful API, Streaming API, SFTP, JMS, Kafka, message brokers, etc preferred but not required</div></li></ul></div><div><ul><li><div>
Agile work environment experience using Jira or similar work management system</div></li></ul></div><div><p><b>
Abilities and Competencies</b></p></div><div><ul><li><div>
Active TS/SCI clearance with ability to obtain CI polygraph</div></li></ul></div><div><ul><li><div>
Self-motivated and eager to work intently to satisfy mission requirements</div></li></ul></div><div><ul><li><div>
Aggressively detail-oriented</div></li></ul></div><div><ul><li><div>
Eager and able to rapidly learn new data types and technologies</div></li></ul></div><div><ul><li><div>
Adaptable and has the desire to maintain our company culture</div></li></ul></div><div><ul><li><div>
Ability to effectively communicate in verbal and written communications with internal and external stakeholders of various backgrounds</div></li></ul></div><div><ul><li><div>
Ability to multitask and adjust priorities as needed</div></li></ul></div><div><ul><li><div>
Ability to critically evaluate problem spaces and propose solutions in real time</div></li></ul></div></div></div>

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