Lead Data Engineer
Company: Jobot
Location: Grand Prairie
Posted on: June 24, 2025
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Job Description:
Remote - Lead Data Engineer - up to $190K base - join a team
building systems to make data driven business decisions This Jobot
Job is hosted by: Chuck Wirtz Are you a fit? Easy Apply now by
clicking the "Apply Now" button and sending us your resume. Salary:
$150,000 - $190,000 per year A bit about us: Our client, in the
financial services industry, is seeking a Lead Data Engineer to
join their team. This is a full-time, direct hire, remote role that
can pay $150-190K base salary plus benefits, depending on
experience. Why join us? This role is ideal for someone who thrives
in a dynamic, fast-paced environment, enjoys solving complex data
problems, and is passionate about driving innovation in data
engineering. If you're looking to make an impact on the financial
landscape with cutting-edge data solutions this could be for you!
Job Details Core Responsibilities: •Lead the design and
implementation of end-to-end data pipelines, from extraction (API,
scraping, pyodbc) to cleansing/transformation (Python, TSQL) and
loading into SQL databases or data lakes. •Oversee the development
of robust data architectures that support efficient querying and
analytics, ensuring high-performance and scalable data workflows.
•Collaborate with data scientists, software developers, business
intelligence teams, and stakeholders to develop and deploy data
solutions that meet business needs. •Ensure smooth coordination
between engineering and other teams to translate business
requirements into technical solutions. •Guide the development of
data models and business schemas, ensuring that they are optimized
for both relational (3NF) and dimensional (Kimball) architectures.
•Lead the creation of scalable, reliable data models and optimize
them for performance and usability. •Develop and maintain the
infrastructure for large-scale data solutions, leveraging cloud
platforms (e.g., Azure) and containerization technologies (e.g.,
Docker). •Lead the use of modern data platforms such as Snowflake
and Fabric, ensuring their effective use in large-scale data
solutions. •Manage and optimize data pipelines using tools such as
Apache Airflow, Prefect, DBT, and SSIS, ensuring that all stages of
the pipeline (ETL) are efficient, scalable, and reliable. •Ensure
robust testing, monitoring, and validation of all data systems and
pipelines. •Drive continuous improvement in data engineering
processes and practices, ensuring they remain cutting-edge,
efficient, and aligned with industry best practices. •Foster a
culture of clean code, best practices, and rigorous testing across
the team. •Strong experience with data pipeline design and
implementation, including data extraction, transformation, and
loading (ETL) processes. •Proficiency in SQL (Postgres, SQL Server)
and experience with modern data warehouse solutions (e.g.,
Snowflake, Fabric). •Expertise in Python for data engineering
tasks, including data manipulation (Pandas, NumPy) and workflow
management (Dask, PySpark, FastAPI). •Solid knowledge of cloud
platforms (Azure, AWS) and big data technologies (Hadoop, Spark).
•Hands-on experience with Docker, Kubernetes, and containerized
environments. •Strong understanding of dimensional modeling
(Kimball), relational database design (3NF), and best practices in
data architecture. •Experience with API development, including
building and managing API integrations. •Proficiency with
orchestration tools like Prefect or Airflow for workflow
management. •Strong focus on testing and validation, ensuring that
all data systems meet reliability and performance standards.
Experience & Qualifications: 5 years of experience in data
engineering roles, with a proven track record of developing and
maintaining data pipelines and architectures. Experience working
with large-scale data platforms and cloud environments. Strong
background in relational databases, dimensional data modeling, and
cloud-native solutions. Familiarity with data engineering tools
such as Apache Airflow, Prefect, and cloud storage platforms.
Excellent problem-solving skills, with the ability to navigate
complex technical challenges. Interested in hearing more? Easy
Apply now by clicking the "Apply Now" button. Jobot is an Equal
Opportunity Employer. We provide an inclusive work environment that
celebrates diversity and all qualified candidates receive
consideration for employment without regard to race, color,
religion, age, sex, national origin, disability status, genetics,
protected veteran status, sexual orientation, gender identity or
expression, or any other characteristic protected by federal, state
or local laws. Sometimes Jobot is required to perform background
checks with your authorization. Jobot will consider qualified
candidates with criminal histories in a manner consistent with any
applicable federal, state, or local law regarding criminal
backgrounds, including but not limited to the Los Angeles Fair
Chance Initiative for Hiring and the San Francisco Fair Chance
Ordinance.
Keywords: Jobot, Mesquite , Lead Data Engineer, IT / Software / Systems , Grand Prairie, Texas
