1

Overnight Databricks Data Engineer Jobs in Towson, MD

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive ...

Data Engineer

Belcamp, MD · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive ...

Data Engineer

Aberdeen, MD · On-site +1

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience with distributed data/computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR ...

Data Engineer

Columbia, MD · Hybrid

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Data Engineer

Columbia, MD · Hybrid

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Senior Data Engineer

Baltimore, MD · Hybrid

$105K - $143K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Data Engineer

Columbia, MD · On-site

$120K - $144K/yr

Experience utilizing Python, SQL, Spark/Scala, Databricks, and distributed data processing ... data engineering practices. * Experience implementing data quality controls, data governance ...

Data Engineer III

Baltimore, MD · On-site

$113K - $136K/yr

Data Engineer III supports the design, development, and deployment of scalable data solutions that ... Databricks, or distributed data processing frameworks * 2+ years of experience designing and ...

Senior Data Engineer

Columbia, MD

$105K - $142K/yr

We are a Python/Django shop with React front ends, Databricks as our data platform, Tableau as a BI ... You will be a member of our small data engineering team. This is a hands-on, build-oriented ...

Data Engineer II

Baltimore, MD · On-site

$113K - $136K/yr

Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ... Databricks, or Amazon Redshift * 1+ years of experience with version control and continuous ...

Data Engineer II

Baltimore, MD · On-site

$113K - $136K/yr

Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ... Databricks, or Amazon Redshift * 1+ years of experience with version control and continuous ...

Senior Data Engineer

Columbia, MD · On-site

$103K - $140K/yr

Required : • 5+ years of professional, non-internship experience as a data engineer • Production experience with Databricks, Snowflake, or BigQuery platforms • Senior-level experience with ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Showing results 21-40

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 unique challenges do overnight Databricks data engineers face, 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 skills and qualifications are needed to thrive as an overnight Databricks data engineer?

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 are the most commonly searched types of Databricks Data Engineer jobs in Towson, MD?

The most popular types of Databricks Data Engineer jobs in Towson, MD are:

What cities near Towson, MD are hiring for Overnight Databricks Data Engineer jobs?

Cities near Towson, MD with the most Overnight Databricks Data Engineer job openings:

$77K - $176K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description

Data Engineer
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there's more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it's gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you'll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can't wait.
You Have:
  • 5+ years of experience in application development, and designing, developing, operationalizing and maintaining complex data applications at enterprise scale
  • 3+ years of experience creating software for retrieving, parsing and processing structured and unstructured data, and building scalable ETL and ELT workflows for reporting and analytics
  • Experience with PySpark and Spark SQL
  • Experience in creating and maintaining Object Types, Link Types, and Action Types in Foundry Ontology, and with Foundry Workshop and debugging issues
  • Experience creating solutions within a collaborative, cross-functional team environment
  • Ability to build and modify data transformations in Palantir Foundry Data Pipeline Builder and Code Repositories
  • Ability to read logs, diagnose errors, and troubleshoot issues in Palantir Foundry
  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
  • Secret clearance
  • Bachelor's degree

Nice If You Have:
  • Experience with Python, SQL, Scala, or Java
  • Experience with UNIX and Linux, including basic commands and Shell scripting
  • Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud
  • Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
  • Experience working on real-time data and streaming applications
  • Experience with NoSQL implementation, including MongoDB or Cassandra
  • Experience with data warehousing using AWS Redshift, MySQL, or Snowflake
  • Experience with Agile engineering practices

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914