Senior Data Engineer Job in Dallas, TX at SolarSys Tek Inc
Published on CazVidat SolarSys Tek Inc
Join SolarSys Tek Inc as a Senior Data Engineer in Dallas, TX. Lead ETL, SQL, PySpark, and data lakehouse projects. $100K/year, full-time role.
Salary
$100,000 per year
Location
Dallas, Texas, United States
Employment type
Full time
Workplace
Not provided
Senior Data Engineer Job in Dallas, TX at SolarSys Tek Inc
$100,000 per year
Job description
SolarSys Tek Inc is seeking a highly skilled and experienced Senior Data Engineer to join our innovative team in Dallas, TX . As a leader in the tech industry, we specialize in delivering cutting-edge data solutions that enhance business operations for our clients. This full-time role offers a dynamic and collaborative work environment that fosters creativity and professional growth, allowing you to directly impact data-driven decision-making across the organization. Key Responsibilities Design, develop, and optimize ETL processes to enable seamless data integration across multiple platforms. Create, maintain, and improve complex SQL queries to extract actionable insights from large data sets. Implement and manage data lakehouse architectures to ensure efficient data storage and accessibility. Collaborate with cross-functional teams to build and maintain scalable, robust data pipelines aligned with business requirements. Utilize PySpark and Scala for high-performance data processing workflows. Ensure strict compliance with GDPR and other industry regulations when handling sensitive data. Participate in code reviews and apply GitOps best practices for version control and deployment. Required and Preferred Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical field. Minimum 5 years of proven experience in data engineering roles with strong expertise in ETL and SQL. Hands-on experience with PySpark and Scala in data engineering projects. Familiarity with Data Lakehouse architecture and designing scalable data pipelines. Knowledge of GDPR compliance and data privacy standards. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. The ideal candidate thrives in a collaborative team environment, reporting directly to the Lead Data Engineer and working closely with data scientists and business stakeholders to drive impactful data solutions. Location: Dallas, TX, USA (On-site, remote not eligible) Compensation: $100,000 per year Job Type: Full-time
Frequently asked questions
Is this Senior Data Engineer position remote or on-site?
This is a full-time, on-site position based in Dallas, TX.
What kind of experience do I need to qualify for this role?
You need a minimum of 5 years of proven experience in data engineering roles, with strong skills in ETL processes, SQL, PySpark, and Scala.
What are the main responsibilities of this job?
You will design and optimize ETL processes, create complex SQL queries, implement Data Lakehouse solutions, and collaborate with teams to build data pipelines.
What educational background is required?
A bachelor's degree in Computer Science, Engineering, or a related technical field is required.
How much does this Senior Data Engineer role pay?
The salary for this position is USD 100,000 per year.
Will I be working with cloud platforms in this role?
Yes, you should have a solid understanding of cloud platforms such as AWS, Azure, or GCP as part of the job.