Jobgether
This position is posted by Jobgether on behalf of
Self Financial, Inc.
We are currently looking for a
Principal Data Engineer
in
Texas (USA) .
This senior role offers the opportunity to lead and shape data engineering initiatives that directly support mission-critical business goals. You will provide technical leadership, mentoring, and cross-functional collaboration to ensure the delivery of high-quality, reliable, and actionable data. Working closely with product managers and analytics teams, you will design and optimize complex data architectures, manage data pipelines, and uphold data quality standards. This position thrives in an innovative, fast-growing environment that values creativity, accountability, and impactful outcomes.
Accountabilities:
Provide technical leadership and architectural guidance for the data engineering team. Collaborate with product management and data consumers to translate business needs into effective data solutions. Design and implement complex data models and data warehousing architectures using large datasets. Manage and optimize ETL/ELT pipelines using SQL and Python, ensuring data accuracy and performance. Develop tools and processes to maintain data lifecycle management and uphold data quality standards. Mentor team members and foster a culture of accountability and continuous improvement. Work cross-functionally with infrastructure, analytics, and business intelligence teams to align data strategies. Requirements
10+ years of experience in database development, integration, and analytics tools. Proven expertise in designing and implementing complex Data Warehouse and Data Lake models (Kimball methodology preferred). Demonstrated technical leadership and team management capabilities within data engineering. Extensive experience with data ETL/ELT processes, particularly on large datasets. Proficiency with AWS data warehousing tools, especially Amazon Redshift, and columnar data structures. Strong skills in Apache Airflow, Python, SQL, and common software engineering tools such as Git, JIRA, and Confluence. Excellent communication and interpersonal skills to effectively collaborate across teams. Willingness to take ownership of team results and responsibilities. Benefits
Competitive salary with performance-based bonuses. Company equity through stock options. Comprehensive health, vision, and dental insurance fully covered by employer. Flexible vacation policy and remote work options. Educational assistance programs. Free gym membership and casual dress code. Team-building activities and a supportive work culture. Paid parental leave.
Jobgether is a Talent Matching Platform
that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the job's core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias - focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
#LI-CL1
Self Financial, Inc.
We are currently looking for a
Principal Data Engineer
in
Texas (USA) .
This senior role offers the opportunity to lead and shape data engineering initiatives that directly support mission-critical business goals. You will provide technical leadership, mentoring, and cross-functional collaboration to ensure the delivery of high-quality, reliable, and actionable data. Working closely with product managers and analytics teams, you will design and optimize complex data architectures, manage data pipelines, and uphold data quality standards. This position thrives in an innovative, fast-growing environment that values creativity, accountability, and impactful outcomes.
Accountabilities:
Provide technical leadership and architectural guidance for the data engineering team. Collaborate with product management and data consumers to translate business needs into effective data solutions. Design and implement complex data models and data warehousing architectures using large datasets. Manage and optimize ETL/ELT pipelines using SQL and Python, ensuring data accuracy and performance. Develop tools and processes to maintain data lifecycle management and uphold data quality standards. Mentor team members and foster a culture of accountability and continuous improvement. Work cross-functionally with infrastructure, analytics, and business intelligence teams to align data strategies. Requirements
10+ years of experience in database development, integration, and analytics tools. Proven expertise in designing and implementing complex Data Warehouse and Data Lake models (Kimball methodology preferred). Demonstrated technical leadership and team management capabilities within data engineering. Extensive experience with data ETL/ELT processes, particularly on large datasets. Proficiency with AWS data warehousing tools, especially Amazon Redshift, and columnar data structures. Strong skills in Apache Airflow, Python, SQL, and common software engineering tools such as Git, JIRA, and Confluence. Excellent communication and interpersonal skills to effectively collaborate across teams. Willingness to take ownership of team results and responsibilities. Benefits
Competitive salary with performance-based bonuses. Company equity through stock options. Comprehensive health, vision, and dental insurance fully covered by employer. Flexible vacation policy and remote work options. Educational assistance programs. Free gym membership and casual dress code. Team-building activities and a supportive work culture. Paid parental leave.
Jobgether is a Talent Matching Platform
that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the job's core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias - focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
#LI-CL1