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About the job MeeBoss is sharing this active opportunity on behalf of the hiring company. This role focuses on building scalable data pipelines and optimizing big data workflows using Databricks and Apache Spark. The position involves partnering with data engineering teams to design cloud-based solutions, supporting AI/ML workflows, and implementing CI/CD pipelines within a hybrid environment in Seattle, WA. Job title Data Engineer Company MeeBoss Location Seattle, WA (Hybrid) Compensation Not specified Why this role Play a pivotal part in enabling data engineering and analytics initiatives tied to AI-driven solutions. Implement cloud-native architectures that fuel innovation and sustainability. Contribute to the development of AI-powered solutions improving operational efficiency, route optimization, and predictive maintenance. What you will do Design, develop, and maintain scalable data pipelines using Apache Spark on Databricks. Build ETL/ELT workflows with AWS and Azure Services. Optimize Spark jobs for both performance and cost within cloud infrastructure. Execute complex ad-hoc queries using Databricks SQL to explore large LakeHouse datasets. Leverage Databricks notebooks to develop robust data transformation workflows using PySpark and SQL. Collaborate with data scientists, ML engineers, and business analysts to support AI and machine learning use cases. Implement CI/CD pipelines for Databricks jobs using GitHub Actions, Azure DevOps, or Jenkins. Ensure data quality, lineage, and compliance through tools like Unity Catalog, Delta Lake, and AWS Lake Formation. Troubleshoot and maintain production data pipelines. Provide mentorship and share best practices with internal and customer teams. What we are looking for Bachelor’s degree in Computer Science, Engineering, or a related field. 5+ years of experience in software/data engineering, including at least 2 years working with Databricks and Apache Spark. Strong proficiency in Python, SQL, and PySpark. Deep understanding of AWS and Azure Cloud services. Experience with Databricks Data LakeHouse, Databricks Workflows, and Databricks SQL. Solid grasp of data Lakehouse and warehousing architecture. Prior experience supporting AI/ML workflows, including training data pipelines and model deployment support. Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. Strong analytical and troubleshooting skills in a fast-paced, agile environment. Excellent collaboration skills for interfacing with both technical and non-technical customer stakeholders. Clear communicator with strong documentation habits. Comfortable leading discussions, offering strategic input, and mentoring others. Benefits Not specified About MeeBoss MeeBoss helps job seekers and hiring teams make direct, relevant career connections.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.