Lumenalta
Data Engineer - Senior
Lumenalta - Tulsa, Oklahoma, United States, 74145
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Overview
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Data Engineer - Senior
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Lumenalta Join to apply for the
Data Engineer - Senior
role at
Lumenalta Get AI-powered advice on this job and more exclusive features. We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries. What Youll Do Join the team as a Senior-Level Data Engineer Design, build, and maintain reliable ETL pipelines from the ground up Work with large, complex datasets using Python or Java and raw SQL Build scalable, efficient data flows and transformations Collaborate with data analysts, product managers, and developers to deliver actionable data to stakeholders Ensure data quality, consistency, and performance across systems What Were Looking For 7+ years of experience as a Data Engineer Strong skills in Python or Java for data processing Proficient in SQL, especially for querying large datasets Experience with batch and/or stream data processing pipelines Familiarity with cloud-based storage and compute (e.g., AWS S3, EC2, Lambda, GCP Cloud Storage, etc.) Knowledge of data modeling, normalization, and performance optimization Comfortable working in agile, collaborative, and fully remote environments Fluent in English (spoken and written) Nice to Have (Not Required) Experience with Airflow, Kafka, or similar orchestration/message tools Exposure to basic data governance or privacy standards Unit testing and CI/CD pipelines for data workflows This job is 100% Remote please ensure you have a comfortable home office setup in your preferred work location. Salary range: $50,000 - $100,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope. In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including: Flexible working hours in a remote environment. Health insurance (medical and dental) for W2 Employees 401K Contribution A professional development fund to enhance your skills and knowledge. 15 days of paid time off annually. Access to soft-skill development courses to further your career. This is a
full-time position
requiring a minimum of
40 hours per week , Monday through Friday. At
Lumenalta , we are committed to creating an environment that prioritizes growth, work-life balance, and the diverse needs of our team members. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Contract Job function
Job function
Engineering and Information Technology Industries
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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
Data Engineer - Senior
role at
Lumenalta Join to apply for the
Data Engineer - Senior
role at
Lumenalta Get AI-powered advice on this job and more exclusive features. We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries. What Youll Do Join the team as a Senior-Level Data Engineer Design, build, and maintain reliable ETL pipelines from the ground up Work with large, complex datasets using Python or Java and raw SQL Build scalable, efficient data flows and transformations Collaborate with data analysts, product managers, and developers to deliver actionable data to stakeholders Ensure data quality, consistency, and performance across systems What Were Looking For 7+ years of experience as a Data Engineer Strong skills in Python or Java for data processing Proficient in SQL, especially for querying large datasets Experience with batch and/or stream data processing pipelines Familiarity with cloud-based storage and compute (e.g., AWS S3, EC2, Lambda, GCP Cloud Storage, etc.) Knowledge of data modeling, normalization, and performance optimization Comfortable working in agile, collaborative, and fully remote environments Fluent in English (spoken and written) Nice to Have (Not Required) Experience with Airflow, Kafka, or similar orchestration/message tools Exposure to basic data governance or privacy standards Unit testing and CI/CD pipelines for data workflows This job is 100% Remote please ensure you have a comfortable home office setup in your preferred work location. Salary range: $50,000 - $100,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope. In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including: Flexible working hours in a remote environment. Health insurance (medical and dental) for W2 Employees 401K Contribution A professional development fund to enhance your skills and knowledge. 15 days of paid time off annually. Access to soft-skill development courses to further your career. This is a
full-time position
requiring a minimum of
40 hours per week , Monday through Friday. At
Lumenalta , we are committed to creating an environment that prioritizes growth, work-life balance, and the diverse needs of our team members. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Contract Job function
Job function
Engineering and Information Technology Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at Lumenalta by 2x Get notified about new Data Engineer jobs in
Tulsa, OK . Embedded Linux Senior Software Engineer - Optimisation
Senior Software Engineer - packaging - optimize Ubuntu Server
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Software Engineer - packaging - optimize Ubuntu Server
Software Engineer - packaging - optimize Ubuntu Server for public clouds
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System Software Engineer - Rust compiler, tooling, and ecosystem
Software Engineer, Ceph & Distributed Storage
Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Software Engineer - packaging - optimize Ubuntu Server for public clouds
Lead Golang Software Engineer, Commercial Systems
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Distributed Systems Software Engineer, Python / Go
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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr