Atlassian Data Engineer

Remote Hiring Remotely in United States Mid level Remote Hiring Remotely in United States Mid level Design, build, and optimize scalable data pipelines, warehouses, lakes, and processing systems for analytics and business intelligence. Ensure data quality, security, reliability, and cost efficiency while collaborating with data scientists, analysts, and engineers. Maintain technical documentation, support Databricks solutions, and apply emerging data engineering technologies. The role requires strong programming, SQL, ETL, orchestration, data modeling, cloud, and big data expertise. The summary above was generated by AI, Entrada AI, Inc. is looking for a highly skilled Data Engineer to join our growing team of consultants. In this role, you will be responsible for designing, constructing, and optimizing large-scale data processing systems that enable advanced analytics and business intelligence. You will collaborate closely with data scientists, analysts, and other engineers to ensure the availability, reliability, and efficiency of our client’s Databricks solution., * Design, develop, and maintain scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.

• Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.
• Optimize data architectures and workflows for performance, scalability, and cost-efficiency.
• Collaborate with data scientists and analysts to understand data requirements and ensure that data systems meet their needs.
• Ensure data quality, integrity, and security by implementing best practices in data governance and management.
• Develop and maintain documentation for data systems, including data models, flow diagrams, and operational procedures.
• Stay current with emerging technologies and trends in data engineering, and apply them to improve existing systems., Build and maintain scalable data pipelines, Big Data ETL workflows, data lake architectures, semantic layers, and self-service analytics solutions. Apply data engineering best practices for quality, observability, testing, documentation, and reliability. Support production systems, resolve incidents, participate in reviews, and communicate data models and architectural decisions to technical and business stakeholders. Top Skills: Apache IcebergSparkAWSDatabricksDelta LakeLookerPysparkPythonSnowflakeSQLTableau Capital One

Data Engineer

Yesterday Remote or Hybrid 209K-262K Annually Senior level 209K-262K Annually Senior level Fintech * Machine Learning * Payments * Software * Financial Services Design, build, and operate scalable cloud data pipelines, platforms, and applications using distributed data technologies. Lead architectural decisions, evaluate platforms such as Snowflake and Databricks, establish engineering patterns, and deliver resilient data solutions. Collaborate with product managers, software engineers, analysts, and data scientists while mentoring engineers and communicating technical outcomes to stakeholders. Drive large-scale data initiatives independently in an Agile environment. Top Skills: AgileAirflowAWSCassandraDagsterDatabricksDynamoDBEmrGlueGCPJavaAzureMongoDBMonte CarloNoSQLPythonRedshiftScalaSnowflakeSparkSplunkSQL, Atlassian

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 3+ years of experience in data engineering or related fields, with a focus on large-scale data systems
• 2+ years of experience with Databricks
• Proficiency in SQL and experience with databases such as MySQL, PostgreSQL, or NoSQL databases
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with ETL tools and frameworks and data pipeline orchestration.
• Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure).
• Strong understanding of data warehousing concepts, data modeling, and schema design.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and ability to work effectively in a team-oriented environment.

In-Office or Remote 47-64 Hourly Internship 47-64 Hourly Internship Cloud * Information Technology * Productivity * Security * Software * App development * Automation Data Engineering Interns will define metrics, instrument logging, ingest and model data, transform datasets, ensure data quality and governance, and support visualization, reporting, alerting, and scalable systems. They will partner with product, analytics, and data consumers to improve product engagement, efficiency, costs, and strategic decision-making. The 12-week, full-time internship includes technical training, mentorship, and hands-on project experience. Top Skills: PythonRelational DatabasesSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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