Leading company in sustainable technology solutions.
Ensure compliance with data security, privacy, and regulatory standards.
Design and implement automated, scalable data pipelines for ingestion, transformation, and integration across diverse client systems.
Implement and maintain data quality, governance, and monitoring frameworks using automation where possible.
Develop dashboards and data visualizations that translate complex data into clear business insights.
Modernize existing ETL processes using Python, cloud-native, and ML-based automation tools.
Apply machine learning techniques for data cleaning, anomaly detection, and predictive modeling to reduce manual effort.
Collaborate with Data Analysts, Product, and Engineering teams to deliver high-quality, actionable insights.
Promote best practices in automation, version control, and DevOps for data pipelines.
Contribute to AI/ML initiatives across the organization, including prototyping and deploying models into production.
Build and maintain data models and architectures optimized for analytics, reporting, and machine learning.
Proficient in Python and SQL; experience with data frameworks such as Pandas, PySpark, or Dask.
Strong understanding of machine learning workflows, model lifecycle management, and deployment strategies.
Experience with LLM-powered data workflows, natural language querying, or generative AI integrations.
Experience with containerization and orchestration (Docker, Kubernetes).
Experience using Git, CI/CD pipelines, and Infrastructure as Code.
Bachelor’s or Master’s in Computer Science, Data Engineering, or Machine Learning (or equivalent experience).
Knowledge of NoSQL databases (MongoDB, DynamoDB, etc.) and real-time streaming (Kafka, Kinesis).
Foosball, Ping Pong Table & basketball net
Data is the backbone of our business solutions. At ATS, we are looking for candidates to design, build, and maintain robust data pipelines and analytics solutions that power our engineering and design tools. As part of our data team, you will work closely with cross-functional teams to transform raw data into actionable insights and ensure scalable, reliable data infrastructure. At ATS, we strive to exceed our clients' expectations. Candidates should demonstrate excellent problem-solving skills, be self-starters, and be able to work in a strong collaborative manner with a group of peers, be adaptable, and demonstrate initiative.
Familiarity with data visualization tools (Power BI, Tableau, Quicksight).
Strong problem-solving and communication skills with a collaborative mindset.
Knowledge of data warehouse design and optimization (Snowflake, BigQuery, Redshift).
Background in construction or engineering data (AutoCAD, Revit APIs) is a strong plus.
Minimum Master’s Degree or equivalent work experience.
Hands-on experience building and maintaining data pipelines using tools such as Airflow, dbt, or similar.
Experience deploying ML models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
3+ years of experience in data engineering, ML engineering, or data science.
Proven experience with cloud data ecosystems (AWS preferred; familiarity with Glue, Lambda, S3, Redshift, or Snowflake a plus).
Gym facilities
Epic year-round employee events!
A culture that promotes a healthy, fulfilling work-life balance
Free parking
Competitive salary
Benefits package for all eligible full-time employees (including medical, vision and dental).
Career advancement opportunities
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