Role Description We are seeking a skilled Data Migration Specialist to play a critical role in integrating newly acquired businesses into our systems and driving data excellence across the organization. In this role, you will lead the migration, cleansing, and transformation of data from multiple CRM sources into our core PestPac platform — ensuring accuracy, consistency, and seamless business continuity. This is a unique opportunity to contribute to the backbone of our M&A success and help shape scalable data practices in an exciting environment. Responsibilities: - Coordinate the execution of cross-functional tasks from the M&A integration playbook, supporting multiple data migration projects simultaneously. - Analyze a variety of CRM systems to understand data structures, relationships, and anomalies. - Design data extraction and mapping schemas from legacy systems to Lookout CRM in order to support business and system requirements. - Develop repeatable migration processes, including extracting, transforming, and importing customer data. - Clean, standardize, and transform data to align with Lookout’s CRM configuration while identifying and resolving data quality issues. - Collaborate with technical and non-technical stakeholders to validate migrated data for accuracy, completeness, and integrity. - Document, track, & communicate progress of data mapping and migration activity. - Act as a liaison between internal teams and external parties during migration processes. Qualifications - 3 or more years’ experience in data migration within the pest control industry. - Experience with business operations (branch structure, service workflows, billing, scheduling, and customer management) to guide data mapping and ensure migrations reflect real-world processes. - Experience migrating CRM platforms, including systems such as PestPac, FieldRoutes, and Briostack, with a focus on maintaining data integrity, minimizing downtime, and ensuring seamless user adoption. - Experience with analyzing and transforming complex legacy datasets by developing and applying business-driven transformation rules, including complex formulas, reconciling legacy data structures, formats, and values with the data requirements of the target software. - Experience designing and executing migration pathways, including staging environments, parallel system testing, and post-migration support. Requirements - Project management experience (preferred). Benefits - Health care (medical, dental, vision, life insurance, disability). - 401K match (6%). - Paid time off. - Parental leave. - Financial planning services. - Continuous education. Company Description Lookout Pest Control is a dynamic, high-growth company with a strong focus on mergers and acquisitions, rapidly expanding our footprint across the industry. With over 40 years in the business, Lookout originated as a family-founded company, and we are proud to continue that reputation and culture today. - Reports directly to Director of Systems Migration. - Established company with a strong customer base and a track record of success. - We are an equal opportunity employer that complies with EEOC rules and regulations. - Committed to diversity, equity, and inclusion. - Hiring decisions are based exclusively on merit, qualifications, and business needs.

• Perform hands-on Item Master data cleanup and remediation • Analyze master data to identify: • Missing or incomplete attributes • Duplicate and inconsistent records • Data integrity and usability issues • Define and execute data quality and completeness checks • Support the establishment of clear data quality standards and definitions • Work with existing MDM and data quality tools (tool-agnostic) • Evaluate and recommend best-fit tools and approaches where gaps exist • Address high-priority, time-sensitive data issues impacting business operations • Execute remediation tasks and defined priorities • Document findings, fixes, and recommendations for ongoing improvement

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.