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Overnight Databricks Data Engineer Jobs (NOW HIRING)

Infosys

Databricks Data Engineer

Richardson, TX · On-site

$104K - $124K/yr

Required : • Experience with Databricks migration/modernization • Experience with Databricks ... and optimize data engineering workflows • Experience building AI assisted or intelligent ...

StratG Inc

Data Engineer

Holmdel, NJ · On-site

$127K - $153K/yr

Data Engineer Location : New Jersey who is a self-starter, fueled by collaboration, able to ... Expert in AWS Databricks, Python, Spark * Strong SQL, and UNIX Shell scripting experience

New

CYNET SYSTEMS

Data Engineer

Jersey City, NJ · On-site

$55 - $60/hr

... an ETL/ELT developer/data engineer. * 3+ years of Databricks data engineering experience ... Expert in AWS Databricks, Python, Spark. * Strong SQL and UNIX Shell scripting experience.

Infosys

Databricks Data Engineer

Minneapolis, MN · On-site

$68K - $111K/yr

Databricks & ADF Python (PySpark/Spark) Azure; Airflow Kubernetes /Snowflake AI/ML (model deployments) Preferred Skill and Experience Data Analytics Skill / Health Care domain Github (CI/CD ...

Livefront

Data Engineer (Databricks)

$117K - $140K/yr

Who you are You are a Databricks-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they enable. You bring deep ...

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Overnight Databricks Data Engineer information

What is the difference between Overnight Databricks Data Engineer vs Data Engineer?

AspectOvernight Databricks Data Engineer
Work EnvironmentPrimarily remote or on-site, working overnight shifts to support global data operations
CertificationsDatabricks certifications, cloud platform credentials (AWS, Azure), data engineering certifications
Tools & TechnologiesDatabricks platform, Spark, cloud services, SQL, Python, ETL tools
Industry UsageTech, finance, healthcare, retail with 24/7 data needs

While both roles focus on data engineering, the Overnight Databricks Data Engineer specializes in managing data pipelines on the Databricks platform during overnight shifts, often supporting global operations. A Data Engineer may work across various platforms and shifts, with broader responsibilities in data architecture and pipeline development. The overnight role emphasizes specific platform expertise and shift timing, catering to organizations with continuous data processing needs.

What are some unique challenges faced by Overnight Databricks Data Engineers, and how can they be addressed?

Overnight Databricks Data Engineers often work with limited real-time support, which can present challenges when troubleshooting urgent data pipeline issues or system outages. To address this, it’s essential to develop strong problem-solving skills, document processes thoroughly, and leverage automated monitoring and alerting tools. Additionally, close collaboration with daytime teams during handoff periods ensures continuity and minimizes disruptions. Building a habit of proactive communication and maintaining detailed logs helps the entire team resolve issues efficiently and maintain data quality.

What are the key skills and qualifications needed to thrive as an Overnight Databricks Data Engineer, and why are they important?

To thrive as an Overnight Databricks Data Engineer, you need strong proficiency in data engineering, Python or Scala programming, and experience with big data technologies, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and certifications like Databricks Certified Data Engineer are highly valued. Attention to detail, problem-solving, and effective communication are essential soft skills, especially for troubleshooting and collaborating across shifts. These competencies ensure reliable data pipeline management and efficient resolution of issues during off-hours, maintaining seamless business operations.

What is an Overnight Databricks Data Engineer?

An Overnight Databricks Data Engineer is a professional who works primarily during night shifts to manage, design, and maintain big data pipelines and workflows using Databricks, a cloud-based data analytics platform. Their responsibilities often include developing and optimizing data processing jobs, ensuring data quality, and troubleshooting issues that arise during overnight data operations. This role is critical for organizations that require 24/7 data processing, continuous ETL jobs, or real-time analytics. Working overnight may also involve monitoring automated systems, performing scheduled data loads, and collaborating with global teams to ensure data availability and reliability.
What cities are hiring for Overnight Databricks Data Engineer jobs? Cities with the most Overnight Databricks Data Engineer job openings:
What are the most commonly searched types of Databricks Data Engineer jobs? The most popular types of Databricks Data Engineer jobs are:
What states have the most Overnight Databricks Data Engineer jobs? States with the most job openings for Overnight Databricks Data Engineer jobs include:
Overnight Databricks Data Engineer jobs near you
Databricks Data Engineer

Databricks Data Engineer

Infosys

Richardson, TX • On-site

$104K - $124K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Infosys rating

7.4

Company rating: 7.4 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

107th of 210 rated it services

Job description

Job Summary:
Infosys is a global leader in next-generation digital services and consulting, and they are seeking a Technology Consultant to join their Data and Analytics unit. The role involves contributing to software application design, coding, and maintaining system stability, while also ensuring software quality and providing training and support for new applications.
Responsibilities:
• Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
• Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
• Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
• Conduct code reviews, do changes to the codebase and maintain code repositories
• Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
• Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
• Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
• Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
Qualifications:
Required:
• Experience with Databricks migration/modernization
• Experience with Databricks, pyspark, python, Git, Devsecops
• Experience building and operating data platforms or distributed data systems
• Experience with Medallion Architecture
• Experience using AI accelerators
• Automate and optimize data engineering workflows
• Experience building AI assisted or intelligent automation
• Ensure data quality, reliability, and performance across pipelines and shared frameworks
• Support downstream consumers such as analytics, reporting, and AI/ML teams
• Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
Preferred:
• Hands-on experience with AWS, including IAM, networking, and multi-account setups
Company:
Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

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