senior data engineer

JourneyTEAM

<div><p>Our Data Engineering practice is growing! JourneyTeam is looking for a hungry, humble, and smart Senior Data Engineer Consultant to join our world-class team and continue building out our best-in-class solutions. If you are ready for growth, love designing and building Microsoft data solutions and have a passion for helping people and businesses, we would love to hear from you!</p>
<p><b>
About JourneyTeam</b>
</p><p>JourneyTeam helps companies implement business solutions and improvements through Microsoft technologies. JourneyTeam is an award-winning Microsoft Partner specializing in all three Microsoft Clouds: Modern Workplace, Microsoft Azure, and Microsoft Business Applications, including Microsoft Dynamics 365, Power Platform and Data+A/I.
</p><p><b>The Opportunity</b>
</p><p>The Senior Data Engineer Consultant plays a pivotal role in driving technical excellence and business value for our clients. Critical aspects of this role entail the ability to discover business requirements and work alongside our clients as you architect and implement modern data engineering solutions within the Microsoft ecosystem. You will also mentor others and lead the solution design and build process as you meet client expectations and project scope.
</p><p><b>Key Responsibilities</b>
</p><ul><li>Help set vision, strategy and roadmap for JourneyTeam data engineering. Incorporate both Microsoft and industry best practices.
</li><li>Architect and implement enterprise data strategies that align with client objectives including analytics, migrations and data integrations.
</li><li>Collaborate with cross-functional teams, including business intelligence developers, Azure cloud administrators, business analysts, and others, to develop comprehensive data solutions.
</li><li>Develop &ldquo;best-in-class&rdquo; data engineering solutions that provide data quality, reliability, automation, notification, scalability, modularity, security.
</li><li>Design, develop, and optimize complex dimensional models for reporting (star schemas).
</li><li>Lead out on design sessions with client teams, conduct workshops and training both internally and externally, including webinars.
</li><li>Lead and mentor data engineers, provide technical guidance, share best practices, and foster a culture of continuous learning and growth.
</li><li>Go-to resource for understanding client problems and responding with appropriate methods anchored around best practice, repeatable patterns, and &ldquo;crush-it&rdquo; mentality.
</li><li>Diagramming and documentation champion.
</li><li>Excellent leadership, communication, and project management skills.
</li></ul><p><b>Required Qualifications:</b>
</p><ul><li>Proven track record with at least 7+ years hands-on experience in data engineering, preferably within the Microsoft ecosystem.
</li><li>3+ years&rsquo; experience working with Azure technologies, such as Data Factory, ADLS, Azure Databricks, Spark, Synapse Analytics, Azure SQL Database, Fabric.
</li><li>Advanced SQL skills. Solid understanding of relational databases, transform logic and dimensional modeling techniques. Ability to write complex SQL.
</li><li>Architectural design and experience building data orchestration and pipelines using metadata driven techniques.
</li><li>Experience with connecting to and ingesting from API sources, including using OAuth 2. Additionally, experience with standardizing and/or flattening and/or normalizing JSON to a flavor of SQL structure.
</li><li>In-depth understanding and practical application of modern data and security architecture principles, combining the best of data lakes and data warehouses for robust and scalable data management.
</li><li>Successful management of data engineering projects, including planning, execution, and delivery.
</li><li>Demonstrated ability to take ownership and responsibility of critical issues and provide resolution. Strong problem-solving and decision-making abilities as well as excellent collaboration skills.
</li><li>Ability to create great rapport with client teams and exercise a knack for driving the adoption of data strategies that move the needle in improving business outcomes.
</li><li>The ideal team member is an analytical problem solver with extensive technical expertise, a deep understanding of data engineering concepts, and a passion for modern data lakehouse technologies.
</li><li><i>Embrace and live the JourneyTeam Values:</i>
<ul><li><i>A Caring Mindset</i>
</li><li><i>Exceptional Performance</i>
</li><li><i>Being OneTeam</i>
</li><li><i>Making &amp; Keeping Commitments</i>
</li><li><i>Taking Ownership</i>
</li><li><i>Effective Communication</i>
</li><li><i>A Growth Mindset</i>
</li></ul></li></ul><p></p><p><b>Nice To Have (Not Required)</b>
</p><ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, informatics, data science or related technical discipline.
</li><li>Experience dealing with high-volume and high-velocity data streams and designing systems that can handle the demands of real-time or near-real-time analytics.
</li><li>Azure Databricks experience.
</li><li>Relevant industry certifications, especially Microsoft.
</li></ul><p></p><p><b>Here at JourneyTeam, we care about our employee&rsquo;s growth. Here is what success looks like your first year:</b>
</p><p><b>30 Days:</b>
</p><ul><li>Read and review &ldquo;The Data Warehouse Toolkit&rdquo; by Ralph Kimball
</li><li>Participate and contribute to group training plan
</li><li>Shadow other data engineers to learn the implementation process and tasks required throughout our projects.
</li><li>Be assigned to a project and support tasks.
</li></ul><p><b>90 Days:</b>
</p><ul><li>Independently own, architect and implement customer solutions.
</li><li>Build data standards and templates and train team on value and adoption.
</li></ul><p><b>6 months:</b>
</p><ul><li>Fully involved in project and support efforts and be a contributing member of project teams and long-term client support
</li><li>Achieve a Microsoft certification
</li><li>Achieve a 75% customer engagement rate by the beginning of six-month period.</li>
</ul><h4 class="jobSectionHeader"><b>Compensation:</b></h4>
<p>
The base salary range for this role is $126,500 &ndash; $160,000 + performance-based bonus program. Eligibility and payout are tied to individual contributions, team performance, and company success.</p>
<p><i>
This is the established pay range for the Senior Data Engineer roles at JourneyTeam on the Data &amp; AI Solutions Practice. Final compensation is dependent on demonstrated skills, relevant experience, and alignment with the role&rsquo;s responsibilities. In general, new employees can expect to start at the lower end of the range (with opportunity to grow and expand within the organization)</i></p>
<h4 class="jobSectionHeader"><b>
Benefits:</b></h4>
<p>
JourneyTeam offers a wide range of excellent benefits, including comprehensive healthcare and dental coverage, as well as a 401(k) with an approximate 4% employer match&mdash;with immediate vesting. We offer flexible time off, with employees averaging 3.75 weeks per year, and provide paid maternity and paternity leave.</p>
<p>
Additional perks include a monthly phone stipend (or the option to join our corporate phone plan) and a monthly gym membership reimbursement of up to $200.</p>
<p>
JourneyTeam is an Equal Opportunity Employer. This position is not open to C2C, H1B sponsorships, or third-party agencies.</p></div>

Senior Data Engineer

eBusiness Solutions Inc.

<div>One of our clients in government domain is seeking a Senior Data Engineer to design and implement Agency data engineering solutions, including data platform evaluation, selection recommendations, data modeling, and enterprise data architecture development. This position will serve as a senior technical contributor responsible for shaping and advancing the Agency&rsquo;s data ecosystem through scalable, secure, and well-governed data design practices. Senior Data Engineer will make technical decisions affecting configuration and implementation of data analytics environments, data platforms, integration systems, and environment-specific data storage solutions. The position will collaborate with IT Architecture staff, the Agency CIO, and IT Managers to design data solutions aligned with agency business needs, enterprise standards, and long-term architectural direction. Senior Data Engineer will assist in evaluating solution designs, contributing to business case analysis, and recommending IT architecture improvements.<p></p>
<b>Senior Data Engineer
</b><p></p><b>Remote (1 day on site)</b><p></p>
<b>Teams Interview</b><p></p>
<b>30 E Broad Street, 13th Floor Columbus, OH 43215</b><p></p>
<b>Long Term Contract</b><p></p>
<b>Responsibilities:</b><p></p>
<ul>Designing and maintaining conceptual, logical, and physical data models supporting enterprise analytics and operational systems Establishing and promoting data modeling standards, naming conventions, and design patterns Contributing to the development and evolution of the Agency&rsquo;s enterprise data architecture roadmap Supporting domain-driven and scalable data design approaches aligned with enterprise data platforms and data governance objectives Providing architectural guidance to ensure data solutions are reusable, interoperable, and aligned with enterprise integration strategies Recommend technical strategy by defining tasks and leading technical discussions related to design, implementation, operation, optimization, and ongoing maintenance of data systems. work closely with Enterprise partners to determine and configure integrations between agency systems and enterprise data lake, data quality, and data curation platforms. provide technical leadership and guidance to DODD&rsquo;s Data Management team by designing and implementing best-practice solutions for integrating agencies and enterprise data platform environments.
</ul><b>Experience:</b><p></p>
<ul>It is critical that this position possesses at least five (5) years of proven experience related to data integration, data cleansing, data classification, and data modeling.
</ul><b>Skills Required:</b><p></p>
<ul>5 years of Experience with Salesforce platforms. 5 years of Experience with Microsoft Environments including Azure and Dynamics. 5 years of Experience with StreamSets data integration pipelines. 5 years of Experience with Snowflake data platform. 5 years of Experience with Tableau analytics integration.</ul></div>

Suntex Marina Investors, LLC

<div><p><b>JOB POSTING</b></p><p><b>
JOB</b><b> TITLE:</b><b> </b>Senior Data Engineer</p><p><b>
DEPARTMENT:</b><b> </b>Information Technology</p><p><b>
REPORTS TO:</b><b> </b>Manager, Data &amp; Analytics</p><p></p><p><b><br>
POSITION PURPOSE</b><b>:</b></p><p>
The Senior Data Engineer is a key technical leader responsible for designing, building, and owning scalable, reliable, and well-governed data solutions that enable enterprise analytics and decision-making. This role operates at the intersection of data engineering, analytics enablement, and governance. The Senior Data Engineer owns complex data pipelines and curated data products, partners closely with analytics and business stakeholders, and sets technical standards that improve data quality, usability, and trust across the organization. The Senior Data Engineer is comfortable operating with ambiguity, can independently own data domains end-to-end, and serves as a mentor and force multiplier within the data engineering team.</p><p></p><p><b><br>
DUTIES AND RESPONSIBILITIES</b><b>:</b></p><p>
1. Data Engineering &amp; Platform Ownership</p><ul><li>
 Design, build, and own end-to-end ETL/ELT pipelines across diverse data sources using Palantir Foundry, PySpark, pandas, and SQL</li><li>
 Architect scalable, resilient data integration solutions supporting analytics, reporting, and operational use cases</li><li>
 Establish and maintain integrations with enterprise systems and external platforms (e.g., ERP, CRM, advertising platforms)</li></ul><p>
2. Analytics Enablement and Data Applications</p><ul><li>
Develop analytics-ready datasets and curated data products that enable self-service reporting and analysis</li><li>
Build and maintain custom analytics applications using Palantir Foundry Workshop and backend tools (Pipeline Builder, PySpark, pandas)</li><li>
Enable advanced analytical use cases by delivering feature-ready datasets (e.g., for forecasting, trend analysis, or anomaly direction), without owning full data science model lifecycle unless explicitly required</li></ul><p>
3. Data Governance, Standards, and Security</p><ul><li>
Support and enhance data governance frameworks that improve data quality, consistency, security, and compliance</li><li>
Collaborate with stakeholders to define and enforce data standards, naming conventions, and access policies</li><li>
Contribute to medallion architecture design, data modeling standards, and metadata and/or documentation practices</li></ul><p>
4. Technical Leadership and Mentorship</p><ul><li>
Serve as a senior technical resource for the team, providing design guidance, code reviews, and architectural input</li><li>
Participate in design reviews and help establish long-term technical direction for the data platform</li></ul><p>
5. Documentation and Continuous Improvement</p><ul><li>
Build and maintain clear, comprehensive technical documentation for pipelines, data products, and integrations</li><li>
Identify opportunities to improve tooling, methodologies, and development workflows</li></ul><p></p><p><b><br>
EDUCATION AND EXPERIENCE</b><b>:</b></p><p>
1. Bachelor&rsquo;s degree in information technology, computer science, or a related field (or equivalent experience)</p><p>
2. 5+ years of progressive experience in data analytics, analytics engineering, or business intelligence roles</p><p>
3. Must have strong hands-on experience with Palantir Foundry, including Pipeline Builder and Workshop</p><p>
4. Must have advanced proficiency in PySpark and SQL for large-scale data transformation</p><p>
5. Must have strong Python skills (pandas, familiarity with polars is a plus)</p><p>
6. Must have a solid understanding of data modeling and medallion architecture</p><p>
7. Must have experience integrating data from ERP, CRM, POS, or similar enterprise systems</p><p>
8. Must have experience implementing or supporting data governance and access control models</p><p></p><p><b><br>
WORKING CONDITIONS/PHYSICAL REQUIREMENTS</b><b>:</b></p><p>
1. Must be able to independently lift, carry, push, and pull up to fifteen (15) pounds</p><p>
2. This individual is located in an office environment generally seated at a desk with a chair for multiple hours</p><p>
3. Must be able to swim or willing to wear a personal floatation device when visiting marina site locations</p><p>
4. Must be able to travel on occasion</p><p></p><p><b><br>
STATEMENT OF PURPOSE</b></p><p>
This document provides descriptive information about the above Suntex Marinas position. Work actually performed by incumbents in this position may vary. Although this document may be used for recruiting, staffing, or career planning, the information contained herein should only be used as a guideline or recommendation for the content of and qualifications for this position. An individual&rsquo;s ability to meet the qualifications and capabilities described in this document is not a guarantee of employment or promotion. Suntex Marinas reserves the right to make changes to this document as deemed necessary without providing advance written notice.</p><p></p><p><br>
Suntex Marinas provides equal employment opportunities to all team members and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, veteran status, or any other consideration made unlawful by federal, state, or local laws. Suntex Marinas is committed to providing reasonable accommodation for qualified applicants, and team members with disabilities to ensure they enjoy equal access to all employment opportunities and benefits of employment as required by the Americans with Disabilities Act.</p></div><p></p>

SAIC

<div><p>Job ID: 2610244</p><p><b>
Location: </b>San Diego, CA, US</p><p><b>
Date Posted: </b>2026-03-13</p><p><b>
Category: </b>Information Technology</p><p><b>
Subcategory: </b>Database Engr</p><p><b>
Schedule: </b>Full-Time</p><p><b>
Shift: </b>Day Job</p><p><b>
Travel: </b>No</p><p><b>
Minimum Clearance Required: </b>TS.SCI</p><p><b>
Clearance Level Must Be Able to Obtain: </b>None</p><p><b>
Potential for Remote Work: </b>ORA_ON_SITE</p><p><b><br>
Description</b>
 </p><p>SAIC is seeking a <b>Senior Data Engineer</b> with an <b>Active TS/SCI clearance</b> in support of NAVWAR&rsquo;s Naval Operational Architecture (NOA) program in <b>San Diego, CA.</b> The Senior Data Engineer will to support a transformational, Navy-led network-centric initiative that converges existing systems, automating the correlation of multiple ISR data streams, dramatically reducing the &quot;sensor-to-shooter&quot; timeline. This is a recently awarded contract, funded for five years.</p><p><b>
Work is performed on site in San Diego, CA. There will be up to 15% of travel required</b></p><p>
Please view our program page for more information and to view all open positions available: https://jobs.saic.com/pages/NOA</p><p><b>
JOB DUTIES:
</b></p><ul><li>Collaborate with cross-functional teams to understand and address Navy operational challenges using data pipelines and analytics.</li><li>
Design, develop, and implement data pipelines and analytics for naval applications.</li><li>
Perform exploratory data analysis, algorithm development, and testing.</li><li>
Normalize and structure data to common standards for interoperability.</li><li>
Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.</li><li>
Develop and deploy data pipelines and analytics in real-world operational environments.</li><li>
Deploy, monitor, and optimize data pipelines to ensure high performance and reliability.</li><li>
Implement event streaming pipelines using Apache Kafka, AWS Kinesis, RabbitMQ, or ZeroMQ.</li><li>
Utilize distributed computing platforms such as AWS Lambda, Dask, or Spark.</li><li>
Leverage cloud-native tools including AWS S3, RDS, EFS, SNS, and SQS.</li><li>
Utilize data pipeline frameworks such as AirByte, Apache Airflow, dbt, Apache Iceberg, and Snowflake.</li><li>
Work with GIS data using ArcGIS, PostGIS, and related tooling.</li><li>
Implement containerized environments using Docker or Kubernetes.</li><li>
Apply cybersecurity principles in the context of secure DoD data applications.</li><li>
Communicate findings and engineering solutions effectively with technical and mission stakeholders.</li></ul>
<p></p><p><b>Qualifications</b>
</p><p><b>Citizenship and Clearance Requirement:</b></p><ul><li>
U.S. Citizenship required.</li><li>
No Dual citizenship</li><li>
Active TS/SCI security clearance required to start.</li></ul><p></p><p><b><br>
Education and Certification Requirements:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics and nine (9) years or Masters and seven (7) years or more of experience.</li><li>
Equivalent years of relevant experience in lieu of degree will be taken into consideration.</li><li>
Additional certifications in data engineering, cloud, geospatial, or cybersecurity are a plus if required by contract.</li></ul><p><b><br>
Required Skills and Experience:</b></p><ul><li>
Strong programming skills in Python, G, Rust, Pandas, R, SQL, or related languages.</li><li>
10 years of experience as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst/engineer, machine learning engineer, or software engineer, or related field.</li><li>
Willingness to travel</li><li>
100% On Site willingness</li><li>
Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.</li><li>
Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending, and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.</li><li>
Ability to perform activities on a reoccurring basis during shipboard operations or testing evolutions.</li><li>
Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).</li><li>
Ability to operate in a DDIL office environment</li><li>
Reasonable accommodations may be provided to enable qualified individuals to meet these requirements and perform the essential functions of the position.</li><li>
Candidates should be prepared to complete a coding exercise as part of the interview process.</li></ul><p><b><br>
Preferred Skills and Experience:</b></p><ul><li>
Experience with large-scale data architecture across secure DoD or government environments.</li><li>
Experience working with NAVWAR, NIWC Pacific, or naval C2/ISR programs.</li><li>
Experience architecting data solutions across multi-domain or cross-domain systems.</li><li>
Familiarity with MLOps practices or deploying analytics/ML-enabled pipelines in classified, cross-domain, or constrained environments</li><li>
Experience with cloud-native data architecture and API design.</li><li>
Programming experience in Go or Rust.</li><li>
Proven experience designing, developing, and deploying complex data pipelines.</li><li>
Experience working with multiple data formats (e.g., CSV, JSON, XML, Parquet, ORC).</li><li>
Familiarity with event streaming technologies: (e.g. Kafka, AWS Kinesis, RabbitMQ, ZeroMQ).</li><li>
Experience deploying, monitoring, and optimizing operational data pipelines.</li><li>
Expertise in Elasticsearch, Redis, S3, PostgreSQL, or related datastores.</li><li>
Experience with AWS data services (EFS, RDS, S3, SNS, SQS).</li><li>
Experience with distributed computing: AWS Lambda, DASK, Spark.</li><li>
Familiarity with AirByte, Airflow, dbt, Iceberg, Snowflake.</li><li>
Experience managing, integrating, and retrieving GIS data (ArcGIS, PostGIS).</li><li>
Understanding of cybersecurity principles as applied to data applications and operational environments (including DDIL constraints)</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication skills in a collaborative team environment.</li><li>
Previous experience supporting government agencies or military organizations.</li></ul>
<p></p>Target salary range: $160,001 - $200,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Crate and Barrel

<div>We are seeking a Senior Data Engineer to serve as a technical lead within our Google Cloud-native data ecosystem. In this role, you will be responsible for the end-to-end engineering of scalable, high-performance data pipelines that power our national retail data platform using a Medallion architecture (Bronze through Platinum). Our Engineering team serves as the organization's core technical provider. You will collaborate closely with separate Governance, Data Science, Data Modeling, and Data Insight teams to turn their requirements and models into robust, production-grade automated pipelines. Your focus is on the &quot;how&quot;&mdash;building the high-integrity plumbing that enables these specialized teams to perform their functions while managing complex interdependencies with other technical teams through enterprise orchestration.
<ul><li><p><b>This position is fully remote</b></p></li><li><p><b>
This role is an Individual Contributor position</b></p></li></ul><p><b>
A day in the life as a Senior Data Engineer...</b></p><ul><li><p>
Lead the technical construction of complex data pipelines. You will be responsible for the engineering implementation of SCD (Slowly Changing Dimension) methodologies and data movement across retail domains as defined by the Data Modeling team</p></li><li><p>
Manage and maintain enterprise-level orchestration outside of the Google Cloud Platform (e.g., Tidal Automation). You will ensure that data pipelines are synchronized with broader organizational workflows, managing critical interdependencies with other technical teams and legacy systems</p></li><li><p>
Act as the primary engineering point of contact for external teams. You will build and optimize the pipelines required by Data Science for model training/deployment and by Data Insight for reporting, ensuring their technical requirements are met with high availability</p></li><li><p>
Build and maintain high-velocity streaming and near-time pathways using Google Dataflow and Confluent Kafka to support real-time operational needs</p></li><li><p>
Mastery of Dataform (SQLX) to build orchestrated, environment-agnostic transformations. You will ensure all models leverage JavaScript configuration and ref() functions to maintain strict code portability across our 16-project grid</p></li><li><p>
Partner with the Governance team to implement &quot;Privacy by Design&quot; technical controls, including CCPA/GDPR compliance workflows, encrypted hashing, and integration with centralized Google Dataplex registries</p></li><li><p>
Enforce mandatory resource labeling (env, domain, layer) across all BigQuery jobs and GCS buckets to ensure transparent cost attribution for the various teams we support</p></li><li><p>
Lead the team&rsquo;s Git-flow process via BitBucket. Manage code through feature branches and UAT release collection for deployment into our 16-project production environment</p></li><li><p>
Perform high-quality code reviews and mentor junior engineers, ensuring the team&rsquo;s output meets the rigorous engineering standards required to support our downstream partners</p></li></ul><p><b><br>
What you'll bring to the table...</b></p><ul><li><p>
5+ years of dedicated Data Engineering experience, with at least 2 years in a lead or senior capacity</p></li><li><p>
Deep proficiency in BigQuery, Google Dataflow, Google Cloud Storage, and Dataform.</p></li><li><p>
Expert-level Python and SQL are mandatory. Python is our primary language for all custom processing and orchestration</p></li><li><p>
Proficiency with BitBucket (Git-flow), Confluent Kafka, Dataplex, and Enterprise Orchestration tools (e.g., Tidal)</p></li><li><p>
Understanding of PII and how to protect both customer and company data</p></li><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field</p></li></ul><p><b>
We'd love to hear from you if you have...</b></p><ul><li><p>
Experience in a &quot;Data Engineering as a Service&quot; environment, building pipelines to satisfy requirements from Data Science or Analytics stakeholders</p></li><li><p>
Experience working with high-volume retail data (e.g., e-commerce, supply chain, or loyalty)</p></li><li><p>
Familiarity with Java for specific edge-case data processing tasks is a plus</p></li><li><p>
Strong understanding of cloud cost optimization and resource attribution</p></li></ul></div>

University of Texas at Austin

<div><div>Job Posting Title:</div>
Senior Data Engineer<div>
-</div><div>
Hiring Department:</div>
Dell Medical School<div>
-</div><div>
Position Open To:</div>
All Applicants<div>
-</div><div>
Weekly Scheduled Hours:</div>
40<div>
-</div><div>
FLSA Status:</div>
Exempt<div>
-</div><div>
Earliest Start Date:</div>
Immediately<div>
-</div><div>
Position Duration:</div>
Expected to Continue<div>
-</div><div>
Location:</div>
AUSTIN, TX<div>
-</div><div>
Job Details:</div><div>
General Notes</div><div>
The Senior Data Engineer is a highly experienced data professional responsible for leading the design, development, and optimization of complex data pipelines and platforms that support enterprise analytics, reporting, and advanced data use cases. This role serves as a technical leader within the data engineering team, owning moderately large initiatives, guiding architectural decisions, and mentoring Data Engineers.</div><div></div><div>
Reporting to the Director of Data Intelligence and Decision Science (or a designated senior leader), the Senior Data Engineer partners closely with data scientists, analysts, software engineers, informaticists, and business stakeholders. The role ensures scalable, secure, and high-quality data solutions while supporting organizational priorities in clinical, operational, financial, and research domains. The Senior Data Engineer plays a key role in preparing the organization for advanced analytics, automation, and AI/ML adoption, without holding full enterprise-wide ownership reserved for the Principal Data Engineer.</div><div></div><div>
Responsibilities</div><div>
Leads Design and Optimization of Data Pipelines</div><ul><li><div>
Designs, builds, and maintains complex, scalable ETL/ELT pipelines for structured and unstructured data.</div></li><li><div>
Leads integration of data from EHRs, financial systems, registries, and external data sources.</div></li><li><div>
Optimizes pipelines for performance, reliability, fault tolerance, and cost efficiency.</div></li><li><div>
Implements batch and near&ndash;real-time data processing patterns as needed.</div></li><li><div>
Ensures pipelines meet regulatory, privacy, and security requirements (e.g., HIPAA).</div></li></ul><div></div><div>
Owns Key Data Platforms and Architecture Components</div><ul><li><div>
Serves as technical owner for specific data platforms, domains, or subject areas (e.g., clinical analytics, operational reporting).</div></li><li><div>
Designs and maintains data lake, warehouse, and data mart structures using cloud platforms</div></li><li><div>
Develops and enforces data modeling standards, schema design, and partitioning strategies.</div></li><li><div>
Partners with IT and cloud teams to ensure availability, scalability, and disaster recovery readiness.</div></li></ul><div></div><div>
Enables Advanced Analytics and Data Science</div><ul><li><div>
Builds curated, analytics-ready datasets and reusable data assets for analysts and data scientists.</div></li><li><div>
Collaborates with data science teams to support feature engineering, model training, and deployment workflows.</div></li><li><div>
Develops frameworks and patterns that improve self-service analytics and reduce ad hoc data requests.</div></li><li><div>
Supports experimentation and proof-of-concept work for predictive analytics and AI/ML use cases.</div></li></ul><div></div><div>
Drives Process Improvement and Engineering Best Practices</div><ul><li><div>
Leads initiatives to improve data engineering workflows, including automation, monitoring, and CI/CD for data pipelines.</div></li><li><div>
Refactors legacy pipelines and infrastructure to improve maintainability and scalability.</div></li><li><div>
Establishes best practices for code quality, documentation, testing, and version control.</div></li><li><div>
Evaluates new tools and technologies and recommends adoption where appropriate.</div></li></ul><div></div><div>
Mentors and Provides Technical Leadership</div><ul><li><div>
Serves as a technical mentor to Data Engineer staff.</div></li><li><div>
Reviews code, pipeline designs, and architecture artifacts to ensure quality and consistency.</div></li><li><div>
Provides guidance on complex technical problems and helps unblock team members.</div></li><li><div>
Contributes to onboarding, internal training, and knowledge-sharing activities.</div></li></ul><div></div><div>
Collaborates with Stakeholders and Leads Medium-to-Large Initiatives</div><ul><li><div>
Partners with business, clinical, research, and operational stakeholders to translate requirements into technical solutions.</div></li><li><div>
Leads data engineering workstreams within cross-functional projects or agile squads.</div></li><li><div>
Communicates technical concepts, trade-offs, and risks to non-technical audiences.</div></li><li><div>
Supports planning, estimation, and prioritization of data engineering initiatives.</div></li></ul><div></div><div>
MARGINAL OR PERIODIC FUNCTIONS</div><ul><li><div>
Supports data integration efforts for new service lines, acquisitions, or system migrations.</div></li><li><div>
Participates in vendor evaluations and technical assessments.</div></li><li><div>
Assists with disaster recovery testing and business continuity planning.</div></li><li><div>
Contributes to grant proposals or research initiatives requiring advanced data infrastructure.</div></li><li><div>
Performs related duties as required.</div></li></ul><div></div><div>
KNOWLEDGE / SKILLS / ABILITIES</div><div>
Technical Expertise</div><ul><li><div>
Advanced proficiency in SQL and Python and related languages for data engineering.</div></li><li><div>
Strong experience with distributed data processing frameworks (e.g., Spark).</div></li><li><div>
Hands-on expertise with workflow orchestration tools (e.g., Airflow).</div></li><li><div>
Deep familiarity with cloud-based data platforms and services (AWS, GCP, or Azure/Fabric).</div></li><li><div>
Experience designing and optimizing data models for analytics and reporting.</div></li></ul><div></div><div>
Data Governance and Compliance</div><ul><li><div>
Strong understanding of data governance, data quality, and security best practices.</div></li><li><div>
Experience working with regulated data, particularly healthcare or clinical data.</div></li><li><div>
Familiarity with healthcare data standards (e.g., HL7, FHIR) preferred.</div></li></ul><div></div><div>
Problem Solving and Decision Making</div><ul><li><div>
Analyzes complex systems to identify root causes and scalable solutions.</div></li><li><div>
Balances short-term delivery with long-term architectural sustainability.</div></li><li><div>
Makes sound technical decisions with limited ambiguity.</div></li></ul><div></div><div>
Collaboration and Leadership</div><ul><li><div>
Effectively collaborates across technical and non-technical teams.</div></li><li><div>
Provides constructive feedback and technical guidance to peers.</div></li><li><div>
Demonstrates ownership, accountability, and initiative.</div></li></ul><div></div><div>
Required Qualifications</div><ul><li><div>
Bachelor&rsquo;s Degree in Computer Science, Data Engineering, Information Systems, or a related field.</div></li><li><div>
At least 6 years of experience in data engineering, analytics engineering, or data platform development.</div></li><li><div>
Demonstrated experience designing and leading complex data pipelines and data platforms.</div></li><li><div>
Relevant education and experience may be substituted as appropriate.</div></li></ul><div></div><div>
Preferred Qualifications</div><ul><li><div>
Master&rsquo;s Degree in Data Science, Data Engineering Computer Science, Informatics, or related field.</div></li><li><div>
Experience in healthcare data engineering or regulated data environments.</div></li><li><div>
Exposure to AI/ML infrastructure, feature stores, or model operationalization.</div></li><li><div>
Experience leading technical initiatives or acting as a team lead.</div></li></ul><div></div><div>
LICENSES, REGISTRATIONS OR CERTIFICATIONS</div><div>
REQUIRED: None</div><div></div><div>
PREFERRED:</div><ul><li><div>
Cloud Certification</div></li><li><div>
Microsoft Certified: Azure Data Engineer Associate</div></li><li><div>
Google Cloud Professional Data Engineer</div></li><li><div>
AWS Certified Data Analytics &ndash; Specialty</div></li></ul><div></div><div>
Salary Range</div><div>
$110,764 + depending on qualifications</div><div></div><div>
Working Conditions</div><ul><li><div>
Standard office equipment</div></li><li><div>
Repetitive use of a keyboard</div></li><li><div>
May be exposed to healthcare-related occupational hazards depending on assignment</div></li></ul><div></div><div>
Required Materials</div><ul><li><div>
Resume/CV</div></li><li><div>
3 work references with their contact information; at least one reference should be from a supervisor</div></li><li><div>
Letter of interest</div></li></ul><div></div><div>
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.</div><div></div><div>
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.</div><div>
-</div><div>
Employment Eligibility:</div>
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.<div>
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Retirement Plan Eligibility:</div>
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.<div>
-</div><div>
Background Checks:</div><div>
A criminal history background check will be required for finalist(s) under consideration for this position.</div><div>
-</div><div>
Equal Opportunity Employer:</div><div>
The University of Texas at Austin, as an <div>equal opportunity/affirmative action employer</div>, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.</div><div>
-</div><div>
Pay Transparency:</div><div>
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor&rsquo;s legal duty to furnish information.</div><div>
-</div><div>
Employment Eligibility Verification:</div><div>
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original <div>documents</div> to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.</div><div>
-</div><div>
E-Verify:</div><div>
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university&rsquo;s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:</div><ul><li><div>
E-Verify Poster (English and Spanish)</div> [PDF]</li><li><div>
Right to Work Poster (English)</div> [PDF]</li><li><div>
Right to Work Poster (Spanish)</div> [PDF]</li></ul><div>
-</div><div>
Compliance:</div><div>
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in <div>HOP-3031</div>.</div><div></div><div>
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may <div>access the most recent report here</div> or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.</div></div>

MDCalc

<div><h1 class="jobSectionHeader"><b>The Opportunity</b></h1><p>
Since 2005, MDCalc has been an essential part of the clinician&rsquo;s workflow to help achieve better patient outcomes. Actively used by more than 65% of physicians worldwide, MDCalc is the most broadly used medical reference &ndash; at the point-of-care &ndash; for clinical decision tools and content, and one of only four references used by &gt;50% of US HCPs. These evidence-based tools and content are used by millions of medical professionals globally and support 50+ specialties and cover 200+ patient conditions.</p><p>
To continue accelerating this growth, we are expanding the Engineering team with a Senior Data Engineer who will help build and scale the data infrastructure that powers decision-making across the company. This is an opportunity for an experienced data engineer who enjoys working close to product and business teams, building reliable data systems, and transforming complex data into actionable insights.</p><p>
This role will help define how data moves through MDCalc&rsquo;s platform, designing the pipelines and architecture that enable reliable analytics, product insights, and data-driven decision making across the organization.</p><p></p><h1 class="jobSectionHeader"><b>
The Role</b></h1><p>
As a Senior Data Engineer at MDCalc, you will design, build, and maintain the data pipelines and infrastructure that support analytics, product insights, and operational decision-making across the company. A key part of this role is managing how data moves across systems, shaping and transforming it through robust ETL/ELT pipelines so it can be reliably used by downstream analytics, product, and business applications.</p><p>
You will work closely with product, engineering, and business stakeholders to ensure data is reliable, accessible, and structured for effective use. This includes building programmatic data pipelines, primarily in Python, to extract, transform, and deliver data across MDCalc&rsquo;s systems and data platform.</p><p>
You will also contribute to the architecture of MDCalc&rsquo;s data platform, helping define how data is structured and delivered across the organization. As a senior individual contributor, you will help establish best practices for data modeling, pipeline development, and data governance.</p><p>
The responsibilities of this individual include the following, but are not limited to:</p><ul><li><p>
Design, build, and maintain scalable data pipelines and ELT/ETL workflows that support analytics, operational reporting, and business intelligence use cases</p></li><li><p>
Build programmatic data pipelines (primarily in Python) that extract data from application and third-party systems, transform it into usable formats, and deliver it to downstream data platforms and consumers</p></li><li><p>
Own and improve core data models and transformations to ensure data is accurate, well-structured, and easy for stakeholders to use</p></li><li><p>
Partner with Product, Engineering, and Analytics teams to understand data needs and translate them into reliable data solutions</p></li><li><p>
Develop and maintain systems that move data across the platform, ensuring it is properly shaped, structured, and available for downstream analysis and product use cases</p></li><li><p>
Help shape and maintain the architecture of MDCalc&rsquo;s modern data stack, including warehousing, orchestration, transformation, and monitoring</p></li><li><p>
Improve data quality, observability, and reliability through testing, validation, and proactive monitoring practices</p></li><li><p>
Support the ingestion and integration of data from a variety of application, product, and third-party sources</p></li><li><p>
Establish and reinforce best practices around data governance, documentation, naming conventions, and maintainability</p></li><li><p>
Identify and drive opportunities to improve performance, scalability, and efficiency across our data systems</p></li><li><p>
Design efficient data workflows that query, transform, and deliver datasets to downstream systems and stakeholders</p></li><li><p>
Contribute to technical direction and architectural decisions as a senior member of the team</p></li><li><p>
Serve as a thought partner to teammates and cross-functional stakeholders on how to best leverage data across the business</p></li></ul><h1 class="jobSectionHeader"><b>
Your Background</b></h1><ul><li><p>
5+ years experience in data engineering</p></li><li><p>
Strong SQL skills and experience building and optimizing data models for analytical use cases</p></li><li><p>
Experience building and maintaining reliable data pipelines in a modern cloud data environment</p></li><li><p>
Strong proficiency in Python or a comparable programming language commonly used in data engineering</p></li><li><p>
Experience building programmatic ETL/ELT pipelines using Python or similar tools to move and transform data across systems</p></li><li><p>
Experience working with data warehouses such as Snowflake</p></li><li><p>
Experience with transformation and orchestration tools such as dbt, Airflow, Dagster, or similar tools</p></li><li><p>
Strong understanding of data architecture, data modeling, and pipeline design best practices</p></li><li><p>
Ability to operate independently, prioritize effectively, and drive work forward in a fast-moving environment</p></li></ul><h1 class="jobSectionHeader"><b>
What MDCalc offers:</b></h1><ul><li><p>
Ability to make a true difference in medicine: MDCalc is the most broadly used medical reference used by 65% of physicians worldwide.</p></li><li><p>
Medical, Dental, &amp; Vision coverage, with option to extend to your dependents</p></li><li><p>
Company-sponsored short-term insurance</p></li><li><p>
Fully-paid 8 week parental leave, after 6 months of employment</p></li><li><p>
Company-sponsored 401k, after 3 months of employment</p></li><li><p>
Unlimited vacation for salaried roles - we trust you to take the time you need</p></li><li><p>
Tri-annual company offsites to connect, reflect, and plan together</p></li><li><p>
Work from home monthly stipend</p></li><li><p>
Hybrid work environment with a great team office in Greenwich Village, NYC</p></li><li><p>
A culture of fun and motivated team members who believe in a greater mission here at</p></li></ul></div>

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