Data Engineer

Your role will involve collaboration with cross-functional teams, leveraging cutting-edge technologies, and ensuring scalable, efficient, and secure data engineering practices. You’ll be working with data across 2 cloud platforms (Azure and GCP) and thus will be working with a wide variety of technologies. A strong emphasis will be placed on expertise in python, Vertex AI, and advanced feature engineering techniques., * Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets.

• Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms.
• Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries.
• Implement Automated Testing: Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards.
• Optimize Data Workflows: Optimize data workflows for performance, cost efficiency, and scalability across large datasets and complex environments.
• Draft and Review Documentation: Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements., POSITION: Quality Assurance Engineer DEPARTMENT: Quality REPORTS TO: Quality Manager LOCATION: Covington, KY (onsite location) FLSA STATUS: Exempt (Full-Time) Job Summary …
• 11 hours ago

• Bachelor’s degree typically in Computer Science, Management Information Systems, Mathematics, Business Analytics or another STEM degree.
• 4+ years of professional Data Development experience.
• 4+ years of experience with SQL and NoSQL technologies.
• 3+ years of experience building and maintaining data pipelines and workflows.
• 2+ years of experience developing with Python.
• Experience in feature engineering for machine learning pipelines.
• Experience with CI/CD pipelines and processes.
• Experience with automated unit, integration, and performance testing.
• Experience with version control software such as Git.
• Full understanding of ETL and Data Warehousing concepts.
• Strong understanding of Agile principles (Scrum)., * Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies).
• Experience with GCP services (or Databricks equivalent) such as BigQuery, Vertex AI Platform, Cloud Storage, AutoMLOps, and Dataflow.
• Experience with GitHub SaaS/GitHub Actions.
• Experience understanding Databricks concepts.
• Experience with PySpark and Spark development.
• Experience with Service Oriented Architecture.

Pay Transparency: The typical base pay for this role across the U.S. is: $60.00 - $69.00 /hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary. You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded. Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying “STOP” to :messages or by contacting . For information about our collection, use, and disclosure of applicant’s personal information as well as applicants’ rights over their personal information, please see our #AditiConsulting #26-05910

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