Title: Senior Enterprise Applications Engineer Location: Atlanta, GA, United States Flexible Work Option - Hybrid - Ability to work remotely part of the week Company - Cox Automotive - USA Job Family Group - Information Technology Job Profile - Sr Enterprise Applications Engineer Management Level - Individual Contributor Flexible Work Option - Hybrid - Ability to work remotely part of the week Travel % - No Work Shift - Day Job Description: Compensation Compensation includes a base salary of $92,300.00 - $153,900.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. Job Description Cox Automotive is seeking a Senior Enterprise Applications Engineer to join our Enterprise Finance Technology team. This role is responsible for designing, building, and optimizing data architecture, pipelines, and enterprise applications that power strategic decision-making across the organization. The Senior Engineer will provide information, insights, and analyses in support of financial consolidation, planning, forecasting, and reporting-combining deep data engineering expertise with strong business intelligence capabilities to ensure data is accessible, trusted, and actionable. This position interacts with a variety of teams-including Finance, Accounting, FP&A, and cross-functional technology groups-to understand business needs and deliver data-driven solutions. The insights and infrastructure provided by this individual will be used to make informed prioritizations, support standard and ad-hoc reporting, and enable the development of new analytical capabilities. The Senior Engineer is expected to perform these duties with minimal daily oversight while mentoring junior team members, contributing to Agile planning, and staying current on emerging technologies. What You'll Do: Primary Responsibilities: Data Engineering, Quality & Pipeline Development - Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Snowflake, AWS, dbt, and/or Informatica, integrating enterprise financial applications with data warehouses, relational databases (PostgreSQL, MySQL, SQL Server), and BI platforms. - Ensure data integrity by implementing automated quality checks, regression testing, validation frameworks, and anomaly monitoring-working with internal and external data providers to customize data feeds and mappings. Project Delivery & Solution Design - Independently plan, manage, and deliver small to medium-sized projects end-to-end (requirements gathering, solution design, development, testing, deployment, documentation, and post-implementation support), while also contributing technical components to larger cross-functional programs. Analytics, Reporting & Continuous Improvement - Support dashboard and reporting development using Power BI, Tableau, or similar tools to deliver KPI insights, and lead enhancements that improve financial processes, reduce manual work, and increase accuracy. - Leverage AI-assisted tools (e.g., Claude, GitHub Copilot, Snowflake Cortex, M365 Copilot) to accelerate development, data validation, and analysis workflows. Agile Planning & Emerging Technologies - Partner with finance and analytics teams to understand day-to-day challenges and design viable data solutions; recommend improvements to processes, technology, and interfaces that reduce technical debt. - Stay current on new data technologies, AI, ML, Data Science, CPM platform innovations, and best practices; share insights and contribute to design standards across the organization. Who Are You: Minimum Requirements: - Bachelor's degree in related discipline and 4+ years of experience in data engineering or architecture. The right candidate could also have a different combination, such as a master's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16 years' experience in a related field. - 4+ years of hands-on experience in data engineering, business intelligence, and/or enterprise analytics across multiple functional areas (reporting, dashboards, data pipelines, and data modeling). - Advanced SQL proficiency and experience with data integration tools (e.g., MS SQL Developer, dbt, Informatica). - Must have strong working experience with data modeling, data access, schemas, and data storage techniques within Snowflake. - Working experience in design, development, and implementation of scalable data pipelines in cloud environments (AWS, Snowflake). - Working experience with ETL/ELT patterns, data warehousing concepts, and data orchestration tools. - Working experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL. - Working experience with business intelligence tools and platforms (Power BI, Tableau, or similar). - Working experience with data quality tools. - Working experience with application lifecycle methodologies (e.g. waterfall, agile, iterative). - Demonstrated project management experience with complex system implementations. - Experience working with Git. - Experience working with AI related tools such as GitHub Copilot, Snowflake Cortex, or M365 Copilot. - Experience implementing new tools into environments. - Excellent analytical, problem-solving, and communication skills with the ability to present technical concepts to non-technical stakeholders. Preferred Qualifications: - Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) for data transformation and predictive modeling. - Familiarity with data orchestration tools such as Apache Airflow, dbt, or Dagster. - Hands-on experience with cloud-native data platforms (e.g., Snowflake, AWS Redshift, Azure Synapse). - Knowledge of data governance and metadata management best practices. - Experience integrating external data sources and APIs into enterprise data ecosystems. - Strong understanding of CI/CD pipelines and DevOps practices for data engineering. - Ability to work in Agile environments and contribute to sprint planning and backlog grooming. - Exposure to real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus. Drug Testing To be employed in this role, you'll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited. Benefits The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave. About Us Through groundbreaking technology and a commitment to stellar experiences for drivers and dealers alike, Cox Automotive employees are transforming the way the world buys, owns, sells - or simply uses - cars. Cox Automotive employees get to work on iconic consumer brands like Autotrader and Kelley Blue Book and industry-leading dealer-facing companies like vAuto and Manheim, all while enjoying the people-centered atmosphere that is central to our life at Cox. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.

Transform healthcare with us. Qualified Health is seeking a Data Integration Engineer to serve as the technical implementation specialist for our healthcare data integration initiatives. In this hands-on role, you'll design and build robust data pipelines that transform raw healthcare data from diverse sources (Epic, LIMS, PACS, SharePoint, etc.) into production-ready datasets powering our AI platform. You'll work in close partnership with a Data Integration Manager who handles client relationships and program coordination, allowing you to focus on solving complex technical challenges, ensuring data quality, and building reusable integration patterns. Your roles are complementary: You own: Technical implementation, ETL development, data quality validation, pipeline construction, troubleshooting, and production deployment execution Manager owns: Partner relationships, requirements gathering, timeline management, stakeholder communication, issue escalation, and ensuring delivery meets expectations Together you deliver: Successful data integrations that meet partner needs on time with high quality This is a technical role for someone who loves working with data, enjoys solving puzzles, and takes pride in building reliable, production-grade solutions. Key Responsibilities: Technical Implementation & Development (80%) - Design and build ETL pipelines using PySpark, SQL, and Azure data services to process healthcare data from multiple source systems - Execute data extraction and transformation operations on complex healthcare datasets, ensuring accuracy and compliance with established standards - Develop data quality validation frameworks to identify and resolve issues during integration, QC, and backtesting phases - Troubleshoot technical issues including data schema mismatches, transformation logic errors, and performance bottlenecks - Build reusable data components and standardized integration patterns that accelerate future implementations - Optimize pipeline performance for large-scale healthcare datasets, ensuring efficient processing and resource utilization - Implement data validation rules specific to healthcare contexts (e.g., clinical code validation, temporal logic checks, referential integrity) - Write and maintain technical documentation for data pipelines, transformations, and integration patterns - Support production deployments by coordinating with infrastructure teams and conducting final testing Collaboration & Problem-Solving (20%) - Partner with Data Integration Manager to translate partner requirements into technical specifications - Participate in technical discussions with partner IT teams to understand data schemas, access methods, and integration constraints - Provide technical guidance on data mapping specifications and transformation approaches - Identify data quality issues and work with Manager to coordinate resolution with partners - Share technical findings from QC and backtesting with Manager to inform partner conversations - Contribute to continuous improvement of tools, processes, and technical standards Required Qualifications: - 5+ years of experience in data analytics, data engineering, or solution delivery roles, with demonstrated expertise in data integration and ETL processes - Strong analytical toolkit with proficiency in: - PySpark for distributed data processing - Advanced SQL for data querying and transformation - Excel for data analysis and reporting - Production ETL experience: Track record of building and maintaining production-grade data pipelines with proper error handling and monitoring - Data quality focus: Experience implementing validation frameworks and troubleshooting data quality issues - Healthcare data experience: Prior work with healthcare datasets (EHR, claims, clinical, lab data) - Problem-solving mindset: Ability to independently diagnose and resolve complex technical issues - Attention to detail: Commitment to accuracy, testing, and delivering reliable solutions - Collaborative working style: Comfortable partnering with non-technical colleagues and adapting to feedback - Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field Preferred Skills: - Epic Clarity experience: Direct work with Epic's relational database structure and clinical data models - Healthcare data standards knowledge: Understanding of FHIR, HL7v2, DICOM, LOINC, SNOMED, ICD-10 - Azure cloud platform: Hands-on experience with Azure Databricks, Data Factory, Blob Storage, Delta Lake - Healthcare compliance awareness: Understanding of HIPAA requirements and healthcare data security best practices - Data warehouse/lakehouse experience: Familiarity with dimensional modeling and modern data architecture patterns - DevOps practices: Experience with Git, CI/CD pipelines, and infrastructure-as-code - Performance tuning: Proven ability to optimize complex data transformations for scale - LIMS/PACS experience: Prior work integrating laboratory or imaging systems data - Multiple data format fluency: Experience with JSON, XML, Parquet, CSV, and other healthcare interchange formats Technical Environment: Our data infrastructure is built on modern cloud technologies including: - Azure Databricks + Data Factory (plus Fabric and Snowflake integrations) - PySpark for distributed data processing - GitHub Actions + Terraform for CI/CD and Infrastructure as Code - Python with type-safe patterns and modern frameworks - Healthcare data formats including FHIR, Epic Clarity, and other EHR schemas What Success Looks Like: - High-quality data pipelines delivered on schedule with thorough testing and documentation - Proactive issue identification with technical problems caught and resolved before impacting partners - Reusable components that reduce implementation time for subsequent integrations - Clean production deployments with minimal post-launch issues - Technical credibility with partner IT teams based on quality of work - Efficient troubleshooting with quick diagnosis and resolution of data quality issues Impact & Growth Opportunity: As a Data Integration Engineer at Qualified Health, you'll build the data infrastructure that powers AI-driven insights for major health systems. Your work directly enables better patient care by ensuring high-quality, reliable data flows into clinical decision support tools. This role offers deep technical learning in healthcare data, exposure to diverse health system architectures, and growth potential into senior technical or platform architecture roles as we scale. Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. Our Commitment to Diversity Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. Pay & Benefits: The pay range for this role is between $130,000 and $180,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP. Responsibilities: - Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments. - Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies - Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations - Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments - Working with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats - Ensuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practices - Staying up-to-date with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering Travel Expectations/Requirements: 6-10 times per year The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. *Preferred Experience and Qualifications: - Demonstrated experience (minimum 5 years) in building and maintaining production data pipelines, databases, and data exchange services on Kubernetes Experience in designing, deploying, and operating Kafka / Redpanda data streaming solutions on Kubernetes - Experience in creating data pipelines from scratch with the ability to process data in large volumes and manage data stores - Experience with containerization technologies such as Docker and container orchestration systems like Kubernetes - Knowledge of systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems Familiarity with API Security, Container Security, AWS Cloud Security Familiarity with cybersecurity principles and best practices for securing data layer systems - Excellent problem-solving skills, with the ability to work independently and as part of a team - Excellent communication skills, with the ability to convey complex ideas to both technical and non-technical team members - The selected candidate will be subject to a pre-employment background check ("CBI") and must be able to obtain and maintain a Secret-level DoD security clearance - Experience with machine learning and generative AI models Full compensation packages are based on candidate experience. Compensation ranges are established using national benchmarking data and apply across all geographic locations within the United States. Remote - USA $124,250—$166,750 USD Who We Are Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market. What We Do We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily. Who We Serve Defense Unicorns’ customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products. What We Work On - Kubernetes - Cloud Environments (AWS/GCP and Azure) - Infrastructure-as-code (like Terraform/Pulumi) - Continuous Delivery and automation tooling - GitOps - Containers - CNCF projects and open source products and packages - Helm/Kustomize-Value Stream Mapping - Building and improving security delivery - Building Kubernetes and cloud native applications Benefits Our Unicorns Enjoy Health: - Medical/Dental/Vision - Premiums are 100% Company Paid - Health Reimbursement Account - Life Insurance - Disability Insurance Financial: - 401k Retirement Plan - Company Stock Options - Home Office Budget Leave: - We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s - Paid Parental Leave Learning: - Reimbursement for approved trainings/subscriptions - Conferences (travel, lodging, and fees) Don’t have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed. At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law. CCPA DISCLOSURE

• Implement data extraction processes from the company's various sources, defining architecture and storage mechanisms. • Execute, manage and maintain tools for ingesting, processing, and modeling large volumes of data. • Identify and implement improvements in internal processes, data platforms, and storage systems. • Design, establish, and document methodologies for data usage, publishing, and handling. • Capture essential data to support different areas with relevant performance information and to aid decision-making. • Ensure the functionality and operational continuity of the data systems and platforms under your responsibility. • Contribute improvements and recommendations related to data quality and data flow between teams. • Perform maintenance on data processing systems.