Job description

LightFeather is seeking a highly skilled and motivated Data Analytics Engineer with expertise in Databricks, Tableau, and Python to join our dynamic team. In this role, you will design, implement, and maintain scalable data pipelines and analytics solutions, enabling data-driven decision-making across the organization. While experience with Google Analytics and MLFlow in Databricks is highly desirable, it is not mandatory. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and scalability of our data infrastructure.

This is a Full Time, Remote Position.

Responsibilities:

Architect, develop, and maintain efficient and scalable ETL data pipelines using Databricks and Apache Airflow to automate workflows and transform raw data into actionable insights.
Collaborate with stakeholders to gather business requirements and translate them into technical specifications and scalable solutions.
Develop and optimize advanced data workflows for performance, scalability, and cost-effectiveness.
Design and implement rigorous testing, validation, and monitoring strategies to ensure data quality, accuracy, and integrity.
Build, maintain, and enhance data visualization solutions using Tableau to support business intelligence needs.
Leverage MLFlow in Databricks to manage machine learning model lifecycles and integrate analytics into predictive pipelines (if applicable).
Monitor and troubleshoot workflows, ensuring smooth operation and minimal downtime of Databricks pipelines and Airflow DAGs.
Stay up-to-date with the latest tools and advancements in data engineering, analytics, and visualization, continuously improving systems and processes.
Maintain comprehensive documentation for all data pipelines, workflows, and configurations to support knowledge sharing and long-term maintenance.

Required Qualifications and Skills:

US Citizenship.
Active clearance at the Public Trust level or above. IRS is preferred.
Bachelor’s degree in Computer Science, Data Engineering, or a related field.
Minimum of 5 years experience as a Data Analytics Engineer, Data Engineer, or a similar role.
Expertise in Databricks, ETL Pipelines, and Python programming.
Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, Snowflake).
Solid understanding of data warehousing concepts and cloud platforms (AWS, GCP, or Azure).
Expertise in data visualization tools such as Tableau.
Excellent problem-solving skills, attention to detail, and a collaborative mindset.

Preferred:

Experience with Google Analytics is highly desirable but not mandatory.
Familiarity with MLFlow in Databricks to manage machine learning models is a strong plus.
Experience with big data frameworks such as Spark or Kafka.
Knowledge of version control systems like Git and CI/CD pipelines for data workflows.

Why Join LightFeather?
You'll be part of a team dedicated to meaningful impact, working on solutions that address mission-critical needs. Experience variety, fulfillment, and the opportunity to work with some of the best in the industry. We are committed to fostering a diverse and inclusive environment where everyone is valued and respected.

Commitment to Diversity

LightFeather is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

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