Senior Data Engineer Remote

Vytwo; Prosper (TX); Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Performance recognition

Professional development opportunities

Job summary

A leading data solutions company is seeking a Senior Data Engineer (Remote) to design and maintain data pipelines, optimize data frameworks on cloud platforms like Databricks and Snowflake, and lead data engineering best practices. Candidates should have 7+ years of experience in data engineering, proficiency in Python, and strong SQL skills. This role offers a challenging environment with opportunities for professional growth and the potential for a security clearance requirement.

Qualifications

• 7+ years of experience in data engineering or software engineering.
• Hands-on experience with Databricks or Snowflake.
• Experience with orchestration tools such as Apache Airflow.
• Advanced SQL skills with OLTP and OLAP modeling.
• Solid programming expertise in Python or similar.

Responsibilities

• Design scalable data pipelines using Python and PySpark.
• Build data processing frameworks on cloud platforms.
• Implement robust data models for analytics and reporting.
• Develop high quality SQL code including complex queries.
• Manage workflow orchestration using Apache Airflow.
• Enforce data governance and metadata standards.
• Create automated data quality and validation frameworks.
• Collaborate with cross-functional teams for data solutions.
• Lead technical design sessions and code reviews.
• Support cloud infrastructure and DevOps practices.
• Monitor and troubleshoot production data pipelines.
• Contribute to enterprise data platform evolution.

Skills

Data engineering

Python

SQL

Databricks

PySpark

Apache Airflow

Cloud ecosystems (Azure, AWS, GCP)

OLTP/OLAP data modeling

Data governance

Tools

Databricks

Snowflake

Microsoft Purview

Docker

Kubernetes

Job description

Role: Senior Data Engineer (Remote)

• Must be a US Citizen

Primary Responsibilities

• Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads
• Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
• Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
• Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
• Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
• Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
• Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
• Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
• Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
• Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
• Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
• Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications

• 7+ years of experience in data engineering, software engineering, or similar disciplines
• Hands-on experience with Databricks or Snowflake
• Experience with orchestration tools such as Apache Airflow
• Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
• Advanced SQL skills and experience with OLTP and OLAP data modeling
• Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
• Familiarity with data governance tools, especially Microsoft Purview
• Solid programming expertise in Python, PySpark, or similar languages

If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment.

Preferred Qualifications

• Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
• Experience with containerization (Docker, Kubernetes) for data workloads
• Experience supporting machine learning workflows or analytical data science pipelines
• Knowledge of distributed computing concepts and performance tuning