About thinkbridge thinkbridge is how growth-stage companies can finally turn into tech disruptors. They get a new way there – with world-class technology strategy, development, maintenance, and data science all in one place. But solving technology problems like these involves a lot more than code. That’s why we encourage think’ers to spend 80% of their time thinking through solutions and 20% coding them. With an average client tenure of 4+ years, you won’t be hopping from project to project here – unless you want to. So, you really can get to know your clients and understand their challenges on a deeper level. At thinkbridge, you can expand your knowledge during work hours specifically reserved for learning. Or even transition to a completely different role in the organization. It’s all about challenging yourself while you challenge small thinking. thinkbridge is a place where you can: • Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues. • Move faster – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done. • Go further – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship. thinkbridge..there’s a new way there. ™ What is expected of you? ​ As part of the job, you will be required to • Design and implement data pipelines using Databricks to process and transform large-scale datasets. • Collaborate with the client’s technical teams to gather requirements and create customized data solutions. • Optimize Databricks clusters for performance, reliability, and cost efficiency. • Implement ETL processes to ensure data quality, security, and accuracy. • Provide guidance on best practices for leveraging Databricks for analytics and data engineering. • Troubleshoot and resolve issues in data workflows and platform configurations. • Stay updated with the latest Databricks features and industry trends to recommend innovative solutions. If your beliefs resonate with these, you are looking at the right place! • Accountability –Finish what you started • Communication–Context-aware, proactive, and clean communication • Outcome –High throughput • Quality –High-quality work and consistency • Ownership –Go Beyond Requirements Must-Have: • Bachelor’s degree in computer science, Data Engineering, or a related field. • 3+ years of experience in data engineering and pipeline development. • Expertise in Databricks, Spark, and PySpark. • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. • Proficiency in programming languages such as Python or Scala. • Strong knowledge of ETL processes, data integration, and data warehousing concepts. • Exceptional problem-solving and analytical skills. • Strong communication skills to effectively collaborate with cross-functional teams. Good to Have: • Databricks certifications (e.g., Databricks Certified Data Engineer Associate or Professional). • Experience with data visualization tools such as Tableau or Power BI. • Familiarity with data governance frameworks and security best practices. Benefits • 3-6 Contract (Renewable based on performance) • Working Hours : 9 AM - 5 PM EST • Visa Type: Authorized to work in the United States