dbt Jobs in Dallas.
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Associate, Operations Data Analytics
Hi, we're Oscar. We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team.
Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.
About the role:
You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You may at times be called upon to speak to prepared analysis both internally and externally.
You will report into the Manager, Data Analytics.
Work Location: This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote
Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.
Responsibilities:
- Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
- Analyze data to support business teams in making better informed, data-driven decisions
- Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
- Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
- Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
- Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
- Support other strategic projects as assigned to meet business needs
- Compliance with all applicable laws and regulations
- Other duties as assigned
Requirements:
- 3+ years of technical work experience using analytical tools and writing analytical reports
- 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
- Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
- 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs
- 2+ years in building robust data models
- 1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
- 1+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools
Bonus points:
- Experience using Python or R
- 2+ years experience in healthcare or insurance industry
- Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience
- Prior experience in Member Relations or Customer Success environments.
- Building data models in dbt
- Building reports in Looker Studio Pro
- Git workflows
This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Privacy Policy.
Ready to apply?
Apply to Oscar Health
About Lantern
Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.
About You:
- You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins.
- INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with.
- You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas.
- You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren’t just the individuals using your product. They are the driving factor in your motivation to make a change.
- Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear.
- You thrive in a Team Environment. Collaboration is key in innovation and creating change.
These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT, individuals can find their way to the best care, resources, and support they need to get back to life.
If this sounds like you, we would love to connect to speak further about career opportunities at Lantern.
Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.
Analytics Engineer
Reports to: Manager, Analytics Engineering
JOB OVERVIEW
The Analytics Engineer is a hands-on individual contributor within Lantern’s centralized Analytics Center of Excellence (CoE), responsible for building, testing, releasing, and maintaining shared analytical data models that enable a distributed analytics community to confidently self-serve insights. The role partners with analysts and analytics leaders across the business to identify common needs, close data gaps, and improve the reliability and consistency of analytics. This is a builder role focused on durable, reusable data products, not one-off analysis.
Success is measured by data quality, adoption of certified models, smooth analytics releases, and reduced ambiguity in business reporting.
Location: Dallas, TX - Hybrid schedule (3x in office per week)
Responsibilities:
Data Modeling & Analytics Engineering
- Design and maintain fact and dimension models optimized for dashboards, reporting, and self-service analytics in Databricks using dbt.
- Explore and onboard new or external data sources, developing Bronze and Silver layer models that make data usable by analysts.
- Implement approved "single source of truth" KPI logic in Silver and Gold models, ensuring accuracy, consistency, and maintainability.
- Maintain clear documentation to support adoption and correct usage by the analytics community.
- Apply established SDLC practices, including Gitbased version control, code reviews, and participation in QA/UAT.
Collaboration & Enablement
- Partner with Business Analysts, Finance, Operations, and Strategy teams to translate recurring analytics needs into scalable, shared models.
- Act as an enablement resource for a distributed analytics community by answering questions, providing guidance, and coaching on data usage and SQL best practices.
- Improve shared data assets based on analyst feedback and usage patterns rather than building one-off solutions.
Production Support & Deployment
- Implement automated data tests (schema, freshness, and business logic) as part of regular development work.
- Support and lead analytics releases, including regression testing, release documentation, release notifications, and post release validation.
- Perform level1 triage of data quality and performance issues, resolving issues where possible and escalating to Data Engineering when required.
- Collaborate with Data Engineering to address source data issues and identify performance optimizations.
Requirements
Required
- 3–6 years of experience in analytics engineering or closely related data roles.
- Strong SQL skills with experience delivering production analytical data models.
- Handson experience with dbt (Core or Cloud).
- Experience with cloud data platforms such as Databricks or Snowflake.
- Experience working with regulated data (PII/PHI).
- Ability to communicate data changes and assumptions clearly to nontechnical partners.
- Experience working with large datasets, performing data validation, comparison, and reconciliation tasks.
- Strong proficiency in Microsoft Excel for data analysis, reconciliation, and reporting.
Preferred
- Experience with medallion or layered data architectures.
- Exposure to automated data quality tooling (e.g., dbt tests, Soda).
- Familiarity with orchestration and deployment workflows (Airflow, Azure Data Factory).
- Experience supporting Finance, Operations, or Commercial analytics use cases.
Benefits
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Short & Long Term Disability
- Life Insurance
- 401k with company match
- Paid Time Off
- Paid Parental Leave
Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Ready to apply?
Apply to LanternAbout Lantern
Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.
About You:
- You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins.
- INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with.
- You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas.
- You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren’t just the individuals using your product. They are the driving factor in your motivation to make a change.
- Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear.
- You thrive in a Team Environment. Collaboration is key in innovation and creating change.
These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT, individuals can find their way to the best care, resources, and support they need to get back to life.
If this sounds like you, we would love to connect to speak further about career opportunities at Lantern.
Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.
Data Engineer - Governance and QA
The Healthcare Data Reporting team delivers high‑quality outbound files and data feeds to clients and exchange partners across claims, utilization, accumulator, and other enterprise health data domains. We are seeking a Data Engineer with deep experience in data governance and QA automation to take ownership of data quality across our reporting pipelines and configuration-based reporting suite.
This role ensures the accuracy, stability, and trustworthiness of our outbound data products by establishing automated data quality frameworks, improving reporting pipelines, and governing data contracts. While a small part of the role involves hands-on manual QA, the majority focuses on building scalable systems, frameworks, and automated testing strategies that ensure our data is trusted, secure, and production-ready.
This is a highly technical role ideal for someone who thrives at the intersection of data engineering, software QA, automation, and quality governance.
Location: Hybrid - Dallas, Texas highly preferred. Hybrid schedule is expected to be in office 3x a week at minimum.
Responsibilities:
Data Quality & Validation
- Own end‑to‑end data quality, integrity, and reliability across staging, transformation, and outbound reporting layers.
- Ensure deterministic logic, repeatability, and consistent outcomes across reporting pipelines and configuration‑driven reporting assets.
- Implement automated data quality checks using Python‑based frameworks (dbt tests, Pytest, Soda, Great Expectations, or similar).
- Enforce data contracts and validation rules for all outbound files and client deliverables.
Test Strategy & Automation
- Define and execute the overall test strategy for outbound reporting, including unit, integration, regression, and end‑to‑end testing.
- Build and maintain automated test suites to validate field mappings, transformation logic, and reporting configurations.
- Integrate automated QA processes into CI/CD pipelines in partnership with Platform Engineering.
- Ensure all pipelines and data products are testable, observable, and instrumented for automated quality checks.
Cross-functional Collaboration
- Partner with Data Engineering, Platform, and centralized QA teams to align on testing standards, frameworks, and best practices.
- Provide subject matter expertise on data quality, pipeline testing, and reporting logic across the enterprise.
- Influence architectural decisions related to data models, reporting pipelines, and configuration‑driven report generation.
Quality Governance & Standards
- Establish and maintain clear QA documentation, including test plans, cases, validation rules, and data quality SLAs.
- Implement version control, automated validation scripts, and monitoring dashboards to support scalable quality governance.
- Contribute to continuous improvement of data governance, quality controls, and reliability engineering practices.
Targeted Manual Validation (As Needed)
- Perform manual QA for new report configurations, schema changes, mapping logic, and first‑time outbound file launches where automation is insufficient.
- Validate SQL transformations, metadata, and schema consistency across reporting assets.
- Document defects, track resolution, and lead root‑cause analysis for data quality issues.
Required Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field — or equivalent experience.
- 5+ years of experience in QA Engineering, Data Engineering, or Data Quality within data‑intensive or regulated environments (healthcare preferred).
- Python experience for automated testing, data validation, and quality frameworks.
- Hands‑on experience with automated data quality/testing tools (dbt tests, Pytest, Soda, Great Expectations, or similar).
- Experience working within CI/CD environments (GitHub Actions, GitLab, Jenkins, etc.).
- Strong understanding of data modeling and data architecture concepts (dimensional, normalized, and reporting models).
- Excellent analytical, troubleshooting, and root‑cause analysis skills.
- Clear communication skills with the ability to translate technical findings into business context.
- High attention to detail with a strong sense of ownership for data accuracy and reliability.
Preferred Qualifications:
- Experience with healthcare datasets (claims, eligibility, utilization, accumulators).
- Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data platform components.
- Experience with Databricks for data processing, testing, and pipeline automation.
- Experience with data quality SLAs, observability tooling, or data reliability engineering.
- Background in configuration‑driven reporting or client‑specific outbound file generation.
Benefits:
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Short & Long Term Disability
- Life Insurance
- 401k with company match
- Paid Time Off
- Paid Parental Leave
Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.
Ready to apply?
Apply to Lantern