Data Engineer

1 day ago Be among the first 25 applicants This range is provided by Blue Orange Digital. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Company overview Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail. Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight. We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work. Note Please submit your resume in English, as all application materials must be in English for review and consideration. Position overview Blue Orange is seeking to expand our Team of expert consultants with an experienced Snowflake Data and AI Engineer to address expanding opportunities in the next several months. Our engineers require a diverse skill set, including system administration, DevOps, infrastructure automation, data modeling, and workflow orchestration. Blue Orange builds enterprise data platforms and systems for a variety of clients, so this candidate should have experience with supporting modern data technologies. The ideal candidate will have experience with multiple data engineering technologies across multiple clouds and deployment scenarios. In particular, we’re looking for someone with experience in Snowflake as well as adjacent technology areas like DevOps, Databricks, SQL, Python, Spark, etc. Responsibilities Designing and implementing scalable data pipelines and models in Snowflake to support enterprise reporting and analytics. Integrating data from ERP and additional business systems into Snowflake using best practices for performance, reliability, and security. Leveraging Snowflake’s AI/ML features (e.g., Snowpark, Cortex AI, and UDFs) to enable intelligent data solutions and automation. Establishing a robust data architecture and technical roadmap, ensuring scalability for future data source expansion. Collaborating with cross-functional teams to translate business requirements into efficient data models and solutions. Optimizing data performance and warehouse operations, including tuning, monitoring, and security configuration. Providing technical leadership and mentoring, promoting standards of excellence across the engineering team. Work with data teams to help design, build, and deploy data platforms in Snowflake (Azure, AWS, GCP, Databricks a plus) and automate their operation. Work with OpenTofu or Terraform (CloudFormation a plus) and other Automation and infrastructure tools to build robust systems. Provide leadership in applying software development principles and best practices, including Continuous Integration, Continuous Delivery/Deployment, and managing Infrastructure as Code, and Automated Testing across multiple software applications. Operate in and/or support heterogeneous technology environments, including both Windows and Linux systems. Develop reusable, automated processes and custom tools. Requirements BA/BS degree in Computer Science or a related technical field, or equivalent practical experience. At least 2 years experience building and supporting data platforms; exposure to Snowflake. Advanced level Python, SQL, and Bash scripting. Experience designing and building robust CI/CD pipelines. Comfortable with Docker, configuration management, and monitoring tools. Knowledge of best practices related to security, performance, and disaster recovery. Enjoys collaborating with other engineers on architecture and sharing designs with the team. Excellent verbal and written English communication. Interacts with others using sound judgment, good humor, and consistent fairness in a fast‑paced environment. Preferred qualifications Hold certifications for Azure DevOps, Azure Data Fundamentals, Databricks, AWS, GCP, etc. Other data technologies like Azure Data Factory, Azure Synapse Analytics, Airflow, Spark, Databricks, GCP, AWS, etc. Work with Databricks, Spark, Python other data orchestration and ETL tools to build high-performance data pipelines. Strong Linux system administration skills. Experience working in other cloud environments, with a minimum of experience. Benefits Fully remote Flexible Schedule Unlimited Paid Time Off (PTO) Paid parental/bereavement leave Worldwide recognized clients to build skills for an excellent resume Top‑notch team to learn and grow with Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industries IT Services and IT Consulting Salary USD $5,632 – $7,392 (monthly range, depending on experience) Referrals increase your chances of interviewing at Blue Orange Digital by 2x We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. Background checks may be required for certain positions/projects. Blue Orange Digital is an equal‑opportunity employer. #J-18808-Ljbffr