Data Engineer

Company Overview

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.

Job Overview

We are seeking a motivated Data Engineer with foundational skills in SQL, Python, and modern data technologies. The ideal candidate should have a strong interest in data engineering, problem-solving, and building scalable data pipelines. This is a great opportunity for someone early in their career who wants to grow into a strong data engineering professional.

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines to ingest, transform, and load data.
• Write efficient SQL queries for data extraction, transformation, and reporting.
• Develop scripts and automation using Python for data processing and workflow orchestration.
• Collaborate with data analysts, BI developers, and business teams to deliver reliable datasets.
• Ensure data quality, integrity, and consistency across different systems.
• Work with cloud and on-premise data platforms as required
• Document processes, data flows, and technical solutions for ongoing knowledge sharing.

Required Skills & Qualifications

• Basic proficiency in SQL (writing queries, joins, aggregations, data manipulation).
• Knowledge of Python for data processing and scripting.
• Understanding of data warehousing concepts (tables, schemas, ETL).
• Familiarity with version control tools (e.g., Git).
• Strong problem-solving and analytical mindset.
• Eagerness to learn and work with modern data engineering tools and cloud technologies.

Nice-to-Have Skills (Good to Learn/Have)

• Experience with cloud platforms (Azure Data Factory, AWS Glue, GCP Dataflow).
• Exposure to big data frameworks (Spark, Databricks, Hadoop).
• Basic knowledge of data visualization tools (Power BI, Tableau, etc.).
• Awareness of data governance and data quality frameworks.

Compensation

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.

Our Commitment to Diversity & Inclusion