Data Engineer
United States
Key Responsibilities: Construct, manage, and optimize data pipelines for data ingestion, storage, and provisioning. Work closely with data architects to implement their designs and uphold data standards. Utilize modern data storage, processing tools, and modeling techniques to prepare data for analytical or operational uses. Ensure the integrity and availability of data throughout the data lifecycle. Monitor system performance, identifying bottlenecks and devising solutions to improve data reliability and quality. Collaborate with data scientists and business analysts to support data-driven decisions and machine learning initiatives. Develop and maintain scalable and reliable data infrastructure to meet business requirements. Lead the integration of new data management technologies and software engineering tools into existing structures.
Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline. At least 3 years of hands-on experience in a data engineering role. Strong command over SQL, Python, and other relevant data manipulation languages. Experience with data modeling, ETL development, and data warehousing solutions, especially with platforms like Snowflake. Demonstrated ability to work with large, complex data sets. Excellent problem-solving skills and attention to detail. Superior communication abilities that let you convey intricate concepts to a non-technical audience with clarity. Proven track record of working in cross-functional teams to deliver stellar project outcomes.
Other Requirements:Excellent oral and written communication skills in English/Fluent in EnglishAble to travel domestically and internationally as required Able to work in the US without sponsorship now or any time in the future
About CAICAI is a 100% employee-owned company established in 1996 that has grown to more than 800 people worldwide. We provide commissioning, qualification, validation, start-up, project management and other consulting services associated with operational readiness to FDA regulated and other mission-critical industries. Meeting a Higher StandardOur approach is simple; we put the client’s interests first, we do not stop until it is right, and we will do whatever it takes to get there.As owners of CAI, we are committed to living our Foundational Principles, both professionally and personally:We act with integrity.We serve each other.We serve society.We work for our future. With employee ownership, one person’s success is everyone’s success; we work diligently to accomplish team goals. We place Team Before Self, demonstrate Respect for Others, and possess a Can-Do Attitude (our core values). That is how we have grown exponentially. BenefitsOur full-time positions offer competitive compensation and benefits which include up to 15% retirement contribution, 24 days PTO and 5 sick days per year, health insurance at extremely low cost to employee, financial support for both internal and external professional education as well as 70% long term disability paid for by the company.#LI-REMOTEWe are an equal opportunity employer; we are proud to employ veterans and promote diversity and inclusion in our workplace. Diversity is a strength for our global company. We pledge that CAI will be operated in a way that is fair and equitable to all – our employees, our customers, and the broader society. This job description is not all inclusive and you may be asked to do other duties. CAI will also consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance Act (FCA) / Fair Chance Ordinance (FCO).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Consulting Data management Data pipelines Data Warehousing Engineering ETL Machine Learning Pipelines Python Snowflake SQL
Perks/benefits: Career development Competitive pay Health care Insurance
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