Databricks Developer

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.

Our seasoned professionals deliver services based on Milestone's best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

Role Overview:

We're seeking a Senior Databricks Developer to build scalable and performant data workflows using modern data stack tools. This role will focus on engineering robust pipelines to transform raw data into reliable datasets for analytics and business use.

Responsibilities:

• Build and maintain production-grade Python, PySpark, Databricks, API Design.
• Develop scalable, fault-tolerant data ingestion and transformation logic in the cloud.
• Optimize queries and transformation logic for performance and cost-efficiency.
• Ensure pipeline observability, error handling, and alerts for smooth operations.
• Collaborate closely with analytics, product, and data science teams to support data needs.

Must-Have Skills:

• 4+ years of hands-on experience with Python, Databricks, DBT, Spark (PySpark), and AWS S3/Glue/Redshift.
• Hands on experience in multi-tenant environments that would include AWS, Azure and GCP
• Experience with Airflow or other workflow orchestration frameworks.
• Proficient in SQL, Python, and working with large-scale datasets.
• Familiar with data warehouse design, schema evolution, and data versioning.

Estimated Pay Range:

Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.

At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success.

Milestone Technologies provides equal employment opportunity for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees.

We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.