Data Operations Engineer lll at Lantern

Dallas, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Jan, 26

Salary

0.0

Posted On

16 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Azure Data Services, Databricks, Python, Data Engineering, ETL, Data Quality, Data Governance, DevOps, Data Observability, Automation, Problem-Solving, Analytical Skills, Communication, Collaboration, Healthcare

Industry

Hospitals and Health Care

Description

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. JOB OVERVIEW We are seeking a highly skilled and proactive Data Operations Engineer III to join our data-driven healthcare organization. This role is pivotal in ensuring the availability, integrity, and accessibility of enterprise data across the organization. You will work at the intersection of data engineering, operations, and governance to enhance the observability of critical data pipelines and assets, automate recurring workflows, and support data quality initiatives. Location: Dallas, TX Responsibilities: As a senior member of the DataOps team, you will be responsible for: Improving data observability by developing monitoring tools and alerts for key data pipelines and assets. Automating recurring data tasks to increase efficiency and reduce manual intervention. Responding to ad hoc data requests from cross-functional teams with speed and accuracy. Enhancing data quality and curation by identifying issues, implementing solutions, and collaborating with data stewards. Maintaining and improving runbooks to ensure operational continuity and knowledge sharing. Leading the onboarding and acquisition of new data assets, ensuring seamless integration into the enterprise data ecosystem. Requirements: Education & Experience Bachelor’s degree in Computer Science, Engineering, or a related field. 5+ years of experience in SQL with the ability to write complex queries. 3+ years of experience performing ETL and data engineering tasks. 3+ years of experience with Big Data technologies such as Databricks, Python, and Data Lakes. Technical Skills Proficiency in: SQL Azure Data Services (including Azure Data Factory) Databricks Python Strong understanding of DevOps/Data DevOps concepts. Experience with data observability tools and practices. Familiarity with data quality frameworks and automation tools. Core Competencies Demonstrated ability to: Improve data observability and integrity. Automate recurring data tasks and workflows. Address ad hoc data requests efficiently. Audit and enhance data quality across enterprise systems. Create and maintain detailed runbooks and documentation. Onboard and manage the acquisition of new data assets. Soft Skills & Intrinsics Strong problem-solving and analytical skills. Excellent communication and documentation abilities. Ability to quickly understand and adapt to the business model. Business acumen, especially in the healthcare industry. Collaborative mindset with cross-functional teams including Product, Analytics, Data Governance, and Cloud Infrastructure. Strong Candidates Will: Have experience with SQL and Python within the healthcare industry, and demonstrate the ability to learn new business models and technologies Exposure to enterprise data governance & management practices. Experience working in a diverse and inclusive team environment. 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.

Responsibilities

As a senior member of the DataOps team, you will improve data observability, automate recurring data tasks, and respond to ad hoc data requests. You will also enhance data quality and lead the onboarding of new data assets.