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Entry Level Databricks Data Engineer Jobs (NOW HIRING)

VIS IT Solutions Inc

DataBricks Engineer

Plano, TX · On-site

Data Bricks Engineer Location: Plano, TX Job Summary: We are seeking an experienced Databricks Engineer with strong expertise in migration of PySpark/Hive workloads from AWS EMR or legacy platforms ...

3B Staffing LLC

Databricks with DBT

Seattle, WA · Hybrid

$55K - $75K/yr

Data Engineer for building data pipelines THE JD: "Need for a Databricks data platform engineer/architect who has experience with DBT and Terraform and CI/CD (GitHub Actions) starting asap for 6 ...

New

Mizuho Financial Group Inc.

$88 - $105/hr

R7257Join Mizuho as a Data Engineer!The IT Data team is responsible for design and development of ... You'll support the development and maintenance of data pipelines on the Databricks Lakehouse ...

3B Staffing LLC

Databricks with DBT

Seattle, WA · Hybrid

$55K - $75K/yr

Data Engineer for building data pipelines THE JD: "Need for a Databricks data platform engineer/architect who has experience with DBT and Terraform and CI/CD (GitHub Actions) starting asap for 6 ...

New

Medisolv, Inc.

Data Engineer

Columbia, MD · On-site

$111K - $133K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and ... Preferred Qualifications · Experience with Azure and/or AWS platforms using Snowflake, Databricks ...

3B Staffing LLC

Data Engineer for databricks

Mountain View, CA · On-site +1

$134K - $161K/yr

Mid-Level Data Engineer (AWS, Databricks, debugging) *** Requirements for ALL Databricks Candidate submittals * Title: Mid-Level Data Engineer (AWS, Databricks, debugging, pipelines) * Location: 100 ...

Medisolv, Inc

$99K - $119K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and ... Databricks, Data Factory, Glue, Lambda, SQL Server). • Review existing data pipelines, data ...

3B Staffing LLC

Data Engineer for databricks

Mountain View, CA · On-site +1

$134K - $161K/yr

Mid-Level Data Engineer (AWS, Databricks, debugging) *** Requirements for ALL Databricks Candidate submittals * Title: Mid-Level Data Engineer (AWS, Databricks, debugging, pipelines) * Location: 100 ...

Analytica

Data Engineer

Washington, DC · On-site +1

$129K - $155K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

Analytica

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Analytica is seeking a Databricks Data Engineer to support a high-profile program for a financial regulatory agency. This program entails developing, deploying, and maintaining secure, scalable data ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site

$90K - $100K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

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How much do entry level databricks data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level databricks data engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is an entry level Databricks data engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an entry level Databricks data engineer?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry level Databricks data engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.
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Entry Level Databricks Data Engineer jobs near you
Infographic showing various Entry Level Databricks Data Engineer job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

SIEM Data Engineer

State Street Corporation

Quincy, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Key responsibilities

  • Support onboarding, transformation, routing, validation, and operational support of cybersecurity telemetry and enterprise log data.

  • Configure telemetry pipelines for parsing, filtering, masking, enrichment, normalization, event breaking, metadata tagging, and destination routing.

  • Validate data quality, troubleshoot ingestion and data flow issues, and monitor pipeline health to ensure reliable data delivery.

Job description

Who we are looking for
We are looking for a SIEM Data Engineer reporting directly to the Cyber Data Engineering Manager. You will support the onboarding, transformation, routing, validation, and operational support of cybersecurity telemetry and enterprise log data used for security monitoring, analytics, reporting, incident response, and cyber data science use cases.
This role is focused on understanding diverse enterprise data sources, building and maintaining security telemetry pipelines, validating data quality, and ensuring reliable delivery of high-quality data into cyber data platforms such as Splunk, Databricks, and other SIEM or cyber analytics platforms. You will work closely with cybersecurity, infrastructure, cloud, application, and data engineering teams to ensure security telemetry is accurate, searchable, complete, and fit for purpose.
Why This Role Is Important to Us
The team you will be joining is part of Cyber Data & Analytics, a function that is vital to the company as it enables cybersecurity teams to make faster, data-driven decisions and strengthen the firm's ability to detect, investigate, and respond to evolving cyber threats.
High-quality cybersecurity data is foundational to effective threat detection, incident response, risk reporting, observability, automation, analytics, and compliance. This role helps ensure that enterprise security telemetry is properly onboarded, validated, enriched, routed, monitored, and continuously available to support critical cyber defense capabilities.
What you will be responsible for
As SIEM Data Engineer you will:
  • Support onboarding of security telemetry from applications, infrastructure, endpoints, identity platforms, network devices, cloud services, SaaS tools, databases, and security products.

  • Analyze source log formats and define ingestion requirements, expected fields, metadata, routing needs, and downstream SIEM/analytics use cases.

  • Configure telemetry pipelines for parsing, filtering, masking, enrichment, normalization, event breaking, metadata tagging, and destination routing.

  • Route security telemetry to Splunk, Databricks, and other SIEM or cyber analytics platforms.

  • Support validation and delivery of security telemetry into Databricks across raw, enriched, and curated data layers.

  • Support ingestion patterns such as syslog, HEC, REST APIs, cloud storage, streaming services, forwarders, and agent-based integrations.

  • Validate data quality in Splunk and Databricks for freshness, completeness, timestamp accuracy, field availability, schema consistency, source attribution, and routing accuracy.

  • Troubleshoot ingestion and data flow issues across sources, collectors, pipelines, SIEM platforms, Databricks tables, APIs, cloud storage, and streaming platforms.

  • Provide second-line-of-defense support for operational issues related to data engineering jobs, pipelines, ingestion failures, and issues leading to loss of data delivery to cyber data platforms.

  • Collaborate with Detection Engineering, Security Operations, Cyber Data Science, Observability, Cloud, Infrastructure, Application, and Platform teams to ensure telemetry supports security use cases.

  • Assist with source type assignment, index routing, taxonomy tagging, metadata enrichment, CIM alignment, schema mapping, and data validation.

  • Monitor pipeline health, dropped events, destination failures, ingestion latency, queue growth, and data delivery issues.

  • Document onboarding patterns, field mappings, transformation logic, routing decisions, data flow diagrams, runbooks, troubleshooting procedures, and operational handoffs.

  • Participate in production support, change management, incident response, root cause analysis, and continuous improvement activities

  • Second-line-of-defense support for operational issues related to data engineering (jobs/pipelines) and issues leading to loss of data delivery to Cyber data platforms

What we value
These skills will help you succeed in this role
  • Strong understanding of SIEM data onboarding, log ingestion, data routing, parsing, enrichment, validation, and troubleshooting.

  • Hands-on experience with Splunk or similar SIEM/log analytics platforms.

  • Hands-on experience or working knowledge of Cribl Stream or similar data pipeline technologies for routing, filtering, parsing, enrichment, transformation, and destination delivery.

  • Ability to understand and onboard telemetry from diverse enterprise data sources across cloud, endpoint, identity, network, application, infrastructure, database, SaaS, and security platforms.

  • Familiarity with common log formats such as JSON, XML, CSV, key-value, syslog, Windows Event Logs, cloud audit logs, API responses, and application logs.

  • Working knowledge of Databricks or similar analytics/lakehouse platforms is preferred.

  • Familiarity with Databricks data layers and data engineering concepts, including raw data ingestion, enrichment, curated tables, SQL-based validation, and analytics-ready datasets.

  • Ability to use SPL, SQL, Spark SQL, Python, Shell, or PowerShell for data validation, querying, troubleshooting, and automation.

  • Understanding data quality concepts, including log fidelity, event completeness, timestamp accuracy, field consistency, duplicate detection, routing validation, and data delivery monitoring.

  • Strong documentation, communication, collaboration, prioritization, and problem-solving skills.

Education & Preferred Qualifications
  • Master's or bachelor's degree in computer science, Cybersecurity, Information Technology, Engineering, Data Engineering, Data Analytics, Information Systems, or a related technical field; equivalent work experience may also be considered

  • 5+ years of experience in SIEM engineering, security data engineering, cybersecurity platform operations, or log analytics, with hands-on experience using Splunk or similar SIEM/log analytics platforms.

  • 2+ years of experience with Cribl Stream or similar data pipeline technologies such as Fluent Bit/Fluentd, Vector, Kafka, Syslog, HEC, REST APIs, or cloud-native ingestion services.

  • 2+ years of experience with Databricks, data lakehouse platforms, large-scale analytics platforms, or security data repositories for telemetry validation, analytics, and data engineering use cases.

  • Experience onboarding, validating, and troubleshooting security telemetry from diverse enterprise sources to support threat detection, observability, incident response, reporting, and cyber analytics use cases.

  • Experience querying and validating data using SPL, SQL, Spark SQL, Python, or similar languages.

  • Experience analyzing logs from cloud, endpoint, network, identity, infrastructure, application, database, SaaS, and security tools.

  • Experience with production support, issue troubleshooting, ticket documentation, root cause analysis, operational handoffs, and continuous service improvement.

  • Relevant certifications are preferred, including Cribl certifications such as Cribl Certified Observability Engineer, Splunk certifications such as Splunk Certified Admin, Splunk Certified Architect, or Splunk Certified Consultant, or equivalent hands-on platform experience.

  • Cloud, infrastructure, data engineering, or cybersecurity certifications are a plus.

Work Requirement
  • This role may follow a hybrid work model, with in-office presence required based on team, business, and location expectations.

  • Standard working hours are 8:00 AM to 5:00 PM local time for the employee's designated work location. Flexibility may be required for occasional operational support, release of activities, incident resolution, escalation support, or data delivery of recovery efforts.

Salary Range:
$90,000 - $157,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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About State Street

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State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

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