Lead Data Engineer

Jobot; Grand Prairie (TX); Remote; USD 150,000 - 190,000; Full time

Job summary

An innovative firm in the financial services sector is seeking a Remote Lead Data Engineer to design and implement data systems that drive business decisions. This full-time role offers the chance to work with cutting-edge technologies and collaborate with cross-functional teams. If you are passionate about data engineering and eager to solve complex data challenges, this opportunity is perfect for you. Join a dynamic environment where your contributions will significantly impact the financial landscape and help shape the future of data-driven solutions.

Qualifications

• 5+ years in data engineering roles with a proven track record.
• Experience with large-scale data platforms and cloud environments.

Responsibilities

• Design and implement end-to-end data pipelines for data-driven decisions.
• Collaborate with teams to develop data solutions and optimize data models.

Skills

Data Engineering

API Development

Data Cleansing

Python

TSQL

SQL Databases

Cloud Platforms

Problem-Solving

Tools

Apache Airflow

Docker

Snowflake

Fabric

DBT

SSIS

Job description

This job description provides detailed information about the role, responsibilities, qualifications, and benefits, but it requires some formatting improvements for clarity and engagement. The content is comprehensive and relevant, covering all essential aspects of the job. However, the formatting can be enhanced by better structuring the sections, reducing redundancy, and ensuring a consistent use of HTML tags to improve readability.

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Job Details

Position: Remote Lead Data Engineer

Salary Range: $150,000 - $190,000 per year (based on experience)

Company: Our client in the financial services industry

This full-time, direct hire, remote role offers the opportunity to work on building data systems that support data-driven business decisions. The role is ideal for someone passionate about data engineering and innovation.

Why Join Us?

If you thrive in a dynamic environment, enjoy solving complex data problems, and want to impact the financial landscape with cutting-edge solutions, this role is for you!

Core Responsibilities

• Design and implement end-to-end data pipelines, including extraction (API, scraping, pyodbc), cleansing/transformation (Python, TSQL), and loading into SQL databases or data lakes.
• Develop robust data architectures supporting efficient querying and analytics.
• Collaborate with data scientists, developers, BI teams, and stakeholders to develop data solutions.
• Translate business requirements into technical solutions, coordinating across teams.
• Design and optimize data models for relational and dimensional architectures.
• Create scalable, reliable data models and optimize for performance.
• Manage infrastructure leveraging cloud platforms (Azure) and containerization (Docker).
• Utilize modern data platforms like Snowflake and Fabric effectively.
• Manage data pipelines with tools such as Apache Airflow, Prefect, DBT, and SSIS.
• Ensure testing, monitoring, and validation of data systems.
• Drive continuous improvement in data engineering practices.

Experience & Qualifications

• 5+ years in data engineering roles with a proven track record.
• Experience with large-scale data platforms and cloud environments.
• Strong background in relational databases, data modeling, and cloud-native solutions.
• Proficiency in tools like Apache Airflow, Prefect, and cloud storage platforms.
• Excellent problem-solving skills.

Additional Information

Interested candidates can apply easily by clicking the "Easy Apply" button. Jobot is an Equal Opportunity Employer committed to diversity and inclusion. Background checks may be performed with candidate consent.

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