Senior Data Engineer - Databricks (PST working hours)
Job title: Senior Data Engineer - Databricks (PST working hours) in USA at Bridgenext, Inc
Company: Bridgenext, Inc
Job description: Company Overview:Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed. Position Description:We’re looking for a Senior Data Engineer with strong expertise in Databricks to design and build high-performance, scalable data pipelines. In this role, you’ll work closely with stakeholders, architects, and engineers to define data requirements, develop optimized solutions, and ensure seamless execution across our global teams.What You’ll Do:
Collaborate with business and engineering teams to understand data needs and translate them into scalable solutions
Design, develop, and maintain high-performance ETL pipelines using Databricks and PySpark
Optimize big data processing workflows to ensure efficiency, reliability, and scalability
Work with AWS cloud services to manage, store, and process large-scale datasets
Implement data governance, security, and quality best practices
Troubleshoot and optimize performance issues in distributed data environments
Stay ahead of industry trends and drive innovation in data engineering best practices
Techncial Stack / Skills Required:
Databricks – Strong experience in Delta Lake, Unity Catalog, and Workflows.
PySpark / Spark SQL – Deep understanding of distributed data processing and optimization techniques.
Cloud Platforms (AWS / Azure / GCP) – Basics of AWS Glue, S3, Lambda, Athena, Redshift, or similar cloud-native services.
ETL & Data Orchestration – Hands-on experience with Apache Airflow or similar orchestration tools.
Data Warehousing & Modeling – Experience with Snowflake, Redshift, BigQuery, or similar; solid understanding of dimensional modeling and Star Schema.
Programming Languages – Proficiency in Python (preferred), Scala, or Java for data engineering and automation.
Workplace: Remote from anywhere in USA, working PST office hoursMust Have Skills:5+ years of experience in data engineering, specializing in big data technologies (e.g., Hadoop, Spark, Kafka)Hands-on expertise in Databricks and distributed data processingStrong knowledge of data architecture, ETL frameworks, and data warehousing conceptsProficiency in Python or Java for building scalable data solutionsExperience working with cloud platforms (AWS, Azure, GCP) and modern data ecosystemsStrong analytical mindset with excellent problem-solving and debugging skillsProfessional Skills:
Outstanding communication and leadership skills, with the ability to work in fast-paced, cross-functional teams
Solid English written, verbal, and presentation communication skills
Strong team and individual player
Maintains composure during all types of situations and is collaborative by nature
High standards of professionalism, consistently producing high quality results
Self-sufficient, independent requiring very little supervision or intervention
Demonstrate flexibility and openness to bring creative solutions to address issues
Bridgenext is an Equal Opportunity EmployerUS citizens and those authorized to work in the US are encouraged to apply#LI-CP1#LI-REMOTE
Expected salary:
Location: USA
Apply for the job now!
Apply Now
Company: Bridgenext, Inc
Job description: Company Overview:Bridgenext is a digital consulting services leader that helps clients innovate with intention and realize their digital aspirations by creating digital products, experiences, and solutions around what real people need. Our global consulting and delivery teams facilitate highly strategic digital initiatives through digital product engineering, automation, data engineering, and infrastructure modernization services, while elevating brands through digital experience, creative content, and customer data analytics services.Don't just work, thrive. At Bridgenext, you have an opportunity to make a real difference - driving tangible business value for clients, while simultaneously propelling your own career growth. Our flexible and inclusive work culture provides you with the autonomy, resources, and opportunities to succeed. Position Description:We’re looking for a Senior Data Engineer with strong expertise in Databricks to design and build high-performance, scalable data pipelines. In this role, you’ll work closely with stakeholders, architects, and engineers to define data requirements, develop optimized solutions, and ensure seamless execution across our global teams.What You’ll Do:
Collaborate with business and engineering teams to understand data needs and translate them into scalable solutions
Design, develop, and maintain high-performance ETL pipelines using Databricks and PySpark
Optimize big data processing workflows to ensure efficiency, reliability, and scalability
Work with AWS cloud services to manage, store, and process large-scale datasets
Implement data governance, security, and quality best practices
Troubleshoot and optimize performance issues in distributed data environments
Stay ahead of industry trends and drive innovation in data engineering best practices
Techncial Stack / Skills Required:
Databricks – Strong experience in Delta Lake, Unity Catalog, and Workflows.
PySpark / Spark SQL – Deep understanding of distributed data processing and optimization techniques.
Cloud Platforms (AWS / Azure / GCP) – Basics of AWS Glue, S3, Lambda, Athena, Redshift, or similar cloud-native services.
ETL & Data Orchestration – Hands-on experience with Apache Airflow or similar orchestration tools.
Data Warehousing & Modeling – Experience with Snowflake, Redshift, BigQuery, or similar; solid understanding of dimensional modeling and Star Schema.
Programming Languages – Proficiency in Python (preferred), Scala, or Java for data engineering and automation.
Workplace: Remote from anywhere in USA, working PST office hoursMust Have Skills:5+ years of experience in data engineering, specializing in big data technologies (e.g., Hadoop, Spark, Kafka)Hands-on expertise in Databricks and distributed data processingStrong knowledge of data architecture, ETL frameworks, and data warehousing conceptsProficiency in Python or Java for building scalable data solutionsExperience working with cloud platforms (AWS, Azure, GCP) and modern data ecosystemsStrong analytical mindset with excellent problem-solving and debugging skillsProfessional Skills:
Outstanding communication and leadership skills, with the ability to work in fast-paced, cross-functional teams
Solid English written, verbal, and presentation communication skills
Strong team and individual player
Maintains composure during all types of situations and is collaborative by nature
High standards of professionalism, consistently producing high quality results
Self-sufficient, independent requiring very little supervision or intervention
Demonstrate flexibility and openness to bring creative solutions to address issues
Bridgenext is an Equal Opportunity EmployerUS citizens and those authorized to work in the US are encouraged to apply#LI-CP1#LI-REMOTE
Expected salary:
Location: USA
Apply for the job now!
Apply Now