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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
Milestone Technologies is seeking a skilled Data Engineer to support a client’s data engineering initiatives on AWS. This role focuses on building scalable data pipelines, improving data quality, and ensuring reliable data processing across modern lakehouse architectures.
You will work closely with data engineering teams, business analysts, and reporting teams to design, build, and optimize data pipelines while ensuring high data quality, observability, and performance.
Build scalable data ingestion pipelines for relational, semi-structured, and unstructured data sources
Design, implement, and optimize lakehouse architectures using Apache Iceberg
Optimize table design including partitioning, compaction, schema evolution, and performance tuning for Iceberg datasets
Implement best practices for versioning, time travel, incremental processing, and ACID compliance
Develop and optimize Apache Spark (batch and streaming) jobs for large-scale data processing
Work extensively with AWS services such as Glue, EMR, Lambda, Step Functions, and S3 with a focus on cost and performance optimization
Build and manage real-time data pipelines using Kafka and Kafka Streaming
Design and orchestrate workflows using DBT and Airflow
Implement automated data quality checks, validation frameworks, and error monitoring mechanisms
Establish observability frameworks including monitoring, logging, and alerting for data pipelines
Collaborate with analytics/reporting teams to enable data quality dashboards and reporting
Analyze existing pipelines to identify improvements and enhance reliability and scalability
Leverage AI/LLM-based tools to accelerate ETL/ELT development, validation, and debugging
Participate in code reviews and contribute to best practices and engineering standards
Skills
Bachelor’s degree (or higher) in Computer Science, Engineering, or a related technical field
4+ years of experience designing, building, and maintaining data pipelines
Strong programming skills in SQL, Python, and Apache Spark
Hands-on experience with AWS data services (Glue, EMR, S3, Lambda, Step Functions)
Deep understanding of lakehouse architectures and Apache Iceberg
Experience with DBT and Airflow for data transformation and orchestration
Strong experience with Kafka and real-time streaming pipelines
Experience working with Snowflake as a cloud data warehouse
Strong understanding of data quality frameworks, validation, and monitoring
Experience handling structured, semi-structured, and unstructured data at scale
Solid understanding of distributed systems and data engineering best practices
Experience with CI/CD pipelines and automation (preferred)
Strong problem-solving skills and ability to work in a fast-paced environment
Excellent communication skills and ability to collaborate with cross-functional teams
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
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.
