Job summary
Job post source
This job is directly from Lumenalta
Job overview
The Data Engineer - Databricks role at Lumenalta involves building and maintaining scalable ETL pipelines to manage large datasets and deliver impactful data solutions for enterprise clients.
Responsibilities and impact
The candidate will build and maintain ETL pipelines using Python, SQL, PySpark, AWS, and Databricks, working with complex datasets to drive business outcomes in a remote, full-time capacity.
Compensation and benefits
The salary ranges from $60,000 to $110,000 annually, with benefits including health insurance, 401K contributions, paid time off, flexible remote work hours, and professional development funds.
Experience and skills
Candidates need 7+ years of data engineering experience, strong Python and SQL skills, hands-on experience with PySpark, AWS, and Databricks, and proven ETL pipeline development expertise; English fluency is required.
Career development
Lumenalta offers professional development funds and access to soft-skill courses to support career growth and skill enhancement.
Work environment and culture
Lumenalta promotes a remote work environment with flexible hours, emphasizing growth, work-life balance, and diversity.
Company information
Lumenalta helps global enterprises launch digital products impacting millions, working with massive datasets and complex pipelines across industries.
Team overview
The candidate will join a remote team focused on solving meaningful data problems with scalable solutions.
Job location and travel
This is a 100% remote position requiring a comfortable home office setup.
Application process
Recruitment is ongoing with no set deadline; specific application instructions are not provided in the description.
Unique job features
The role features working with advanced tools like Databricks and PySpark on large-scale data projects impacting enterprise clients.
Company overview
Lumenalta, formerly known as Clevertech, is a technology company that specializes in developing custom software solutions. The company partners with enterprise clients to design and implement innovative digital products, particularly focusing on processing large volumes of data. Lumenalta is based in New York City and was founded in 2000. It operates in the computer software industry, offering tailored solutions to meet the specific needs of its clients. The company has a strong emphasis on professional development and teamwork, as reflected in its hiring practices for roles such as data engineers and principal data architects.
How to land this job
Position your resume to emphasize your 7+ years of data engineering experience, focusing on building and maintaining ETL pipelines using Python, SQL, and PySpark, as these are critical for the Data Engineer role at Lumenalta.
Highlight your hands-on expertise with AWS and Databricks, showcasing projects where you delivered scalable data solutions that impacted business outcomes for enterprise clients.
Apply through multiple platforms including Lumenalta's official corporate website and LinkedIn to maximize your application visibility for this remote role.
Connect with current Lumenalta data engineering team members or those in the data division on LinkedIn; start conversations by referencing recent Lumenalta projects or asking about their experience working remotely, which helps break the ice.
Optimize your resume for ATS by incorporating keywords from the job description such as 'ETL pipelines,' 'Python,' 'SQL,' 'PySpark,' 'AWS,' and 'Databricks' to ensure it passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, find the best platforms to submit your resume, and identify relevant LinkedIn contacts for networking, saving you valuable time during your job search.
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