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Senior Databricks Data Engineer Jobs in Delaware

It is not uncommon for any colleague to organize a meeting with a senior leader or give our CEO a ... Extend the data environment to support new data sources and data types, including ingestion ...

Senior Hadoop Developer Employment Type: Full-Time Location: Newark, DE Primary Skill: Hadoop ... Collaborate with ML teams on feature engineering, data preprocessing, and optimizing data formats ...

Java Developer

Wilmington, DE · On-site

$49.50 - $64/hr

Senior Java Data Engineer (AWS) Job Overview We are looking for a Senior Java Data Engineer with strong experience building and supporting large-scale batch data processing systems on AWS . This role ...

Java Developer

Wilmington, DE · On-site

$60 - $65/hr

Experience with Databricks and Airflow for data engineering workflows. Understanding of Agile methodologies and work within common Agile frameworks. Knowledge of CI/CD, TDD, cloud development ...

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Senior Databricks Data Engineer information

How does a Senior Databricks Data Engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

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

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

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

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

What are Senior Databricks Data Engineers?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.
What are the most commonly searched types of Databricks Data Engineer jobs in Delaware? The most popular types of Databricks Data Engineer jobs in Delaware are:
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Data Engineer

$78K - $117K/yr

Full-time

Posted 5 days ago


Job description

Position Overview

The Bridgeforce Data Solutions team seeks an entrepreneurial mindset for a unique and exciting opportunity to be part of the team executing upon the design and creation of enhancements to the data environment. The duties of this role range from data modeling and database development to building and maintaining reliable, efficient data routines that support analytics and the company’s products. 

It is critical that this person enjoys challenges and breaking new ground; working closely with colleagues to provide detailed insights into the “why” of data design, the business decisions that BDS plans to support, and the key insights needed to support them. 

Work Environment

Bridgeforce Data Solutions’ autonomous work environment provides all employees with the opportunity to learn how to self-manage and take ownership of their work. With this freedom, we strongly encourage our colleagues, including new team members, to approach and initiate contact with whomever they may need or want to speak within the company. It is not uncommon for any colleague to organize a meeting with a senior leader or give our CEO a call with a question. All colleagues also have the opportunity for enriching activities such as meetings with BDS leaders.

Job Duties and Responsibilities

  • Translate business and data requirements into technical designs (data models, schemas, validation rules, and processing specifications). 
  • Enhance data exception handling by implementing robust validation, reconciliation, monitoring, and alerting for data quality issues. 
  • Improve data processing efficiency by tuning, optimizing tables and schemas, and reducing runtime and operational overhead. 
  • Extend the data environment to support new data sources and data types, including ingestion, normalization, and backward-compatible schema evolution. 
  • Create derivative datasets (e.g., benchmarking datasets) and implement de-identification approaches that remove or protect PII while preserving analytical value. 
  • Document requirements and track progress against defined milestones.  
  • Document and maintain processes, procedures, and user guides related to the analytics suite. 
  • Support onboarding of new data sources and new client data feeds by defining mapping rules, validation checks, and go-live readiness criteria. 
  • Support the data environment on behalf of clients and internal efforts. 
  • Maintain user confidence and protect operations by keeping information confidential. 

Requirements and Qualifications

Required Qualifications:

  • Permanent US work authorization (US Citizen or Green Card).   
  • Bachelors or Masters degree in Computer Science or a related field.
  • 1-2 years of direct experience or the equivalent experience obtained through internships.
  • Detail oriented, analytical and inquisitive. 
  • Highly organized with strong time-management skills. 
  • Ability to work independently and with others. 
  • A “can-do” attitude that finds ways to get things done with limited direction.
  • Talented at taking initiative and being self-motivated.
  • Capable of completing milestones and work toward multiple deadlines simultaneously. 
    • Willingness to learn on the job and share experiences with other members of the team.
  • Strong work ethic with the ability to work in unstructured situations and bring order to undefined solutions.
  • SQL and Redshift development experience. 
  • Experience with python and shell scripting.
  • Strong knowledge of Datawarehouse/dimensional model concepts.
  • Actively embraces AI-enabled coding assistants as part of daily development work (e.g., Kiro, Claude Code, or similar).
  • Effective interpersonal and clear communication skills when meeting with clients. 
  • Excellent written English skills. 

Preferred Qualifications:

  • Familiar with ETL (using at least one like Ab initio/Informatica/Data Stage or similar) tool. 
  • Experience in financial services, especially consumer lending. 
  • Experience writing procedures and technical documentation. 
  • Familiar with AWS environments. 
  • Previous work experience with dynamic, start-up software teams. 

Additional Information

The selected candidate must be able to work remotely 40 hours per week (M-F).  Travel is required and includes an annual company meeting plus limited internal in-person meetings and client visits averaging less than once per month. 

The pay range for the position is dependent upon the selected candidate’s prior experience and is estimated to be $60,000 - $90,000 annual salary plus 30% bonus potential, resulting in total cash compensation of up to $78,000 - $117,000 annually.  

Company Overview

Bridgeforce Data Solutions is a financial technology firm that provides automated credit reporting and disputes compliance and benchmarking solutions to help consumer lenders of all sizes inspect, benchmark, and optimize their credit bureau data. 

Click here to learn more about Bridgeforce Data Solutions

This is a remote position which can work anywhere within the United States with East Coast preferred. 

Only candidates with permanent US work authorization will be considered (i.e., US Citizen, Green Card holders). 

Sponsorship for OPT, STEM OPT, J-1, F1, H-1B, or any other work authorization visa is not available with this position and candidates with temporary work authorization that has an expiration date will not be considered.

No recruiting agencies.  Bridgeforce and Bridgeforce Data Solutions will not accept unsolicited resumes from recruiting agencies. Please do not leave messages or forward resumes to Bridgeforce or Bridgeforce Data Solutions employees or our company location. Bridgeforce and Bridgeforce Data Solutions are not responsible for any fees related to unsolicited resumes from recruiting agencies.