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Senior Data Engineer Jobs in Rosedale, MD (NOW HIRING)

Senior Data Lead

Linthicum, MD · On-site

$170K - $260K/yr

Are you a Senior Data Lead who is ready for a new challenge that will launch your career to the ... Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". * We ...

AI Data Engineer - Senior Consultant

Baltimore, MD · Hybrid

$103K - $142K/yr

As an AI Engineer Senior Consultant , you will design, build, and run the trusted, governed data + feature + retrieval layer used by AI/ML and GenAI solutions. You will deliver reproducible datasets ...

Data Strategy-Senior Manager

Baltimore, MD · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP ...

Senior Data Architect (Remote)

Baltimore, MD · Remote

$66.75 - $89.50/hr

The Senior Data Architect will support the design and implementation of enterprise data ... Provide technical leadership and mentorship to data engineers, data modelers, and analysts. Stay ...

Senior Data Architect (Remote)

Baltimore, MD · Remote

$66.75 - $89.50/hr

The Senior Data Architect will support the design and implementation of enterprise data ... Provide technical leadership and mentorship to data engineers, data modelers, and analysts. Stay ...

Leidos has a new and exciting opportunity for a Sr. Data Scientist in our National Security Sector ... Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO ...

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Showing results 1-20

Senior Data Engineer information

See Rosedale, MD salary details

$77.7K

$121.2K

$167.8K

How much do senior data engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for senior data engineer in Rosedale, MD is $121,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $138,100.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, build, and maintain data infrastructure. Data engineers are essential for managing complex data pipelines, ensuring data quality, and implementing AI models effectively within organizations. Proficiency in programming, cloud platforms, and data management tools remains critical for the role.

What is the highest salary for a senior data engineer?

The highest salaries for senior data engineers can exceed $150,000 to $200,000 annually, especially in high-cost-of-living areas or with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark or Hadoop. Compensation may also include bonuses, stock options, and other benefits depending on the company and location.

What are Senior Data Engineers?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What engineer makes $500,000 a year?

Senior Data Engineers with extensive experience, advanced skills in data architecture, and expertise in tools like Spark, Hadoop, or cloud platforms can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, or other incentives.

What engineers make $300,000 a year?

Senior Data Engineers and other highly experienced engineering roles in fields like software, machine learning, and cloud infrastructure can earn $300,000 or more annually, especially with advanced skills, certifications, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, reflecting expertise and responsibility levels.

What are some common challenges Senior Data Engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.
What are the most commonly searched types of Data Engineer jobs in Rosedale, MD? The most popular types of Data Engineer jobs in Rosedale, MD are:
What cities near Rosedale, MD are hiring for Senior Data Engineer jobs? Cities near Rosedale, MD with the most Senior Data Engineer job openings:
Data Engineer

$90K - $135K/yr

Other

Medical, Dental, Vision, Retirement

Posted 23 days ago


Job description

Description

About Securityplus Federal Credit Union: 


Since 1938, Securityplus Federal Credit Union has proudly served our members and communities as a not-for-profit financial institution. Our mission is to empower people with financial security, providing the tools, resources, and guidance they need to reach their goals with confidence.


Guided by our CARES values of Collaboration, Agility, Respect, Excellence, and Spirit, we create meaningful connections and deliver exceptional service in everything we do. We believe in doing what is right for our members, supporting one another as a team, and making a positive impact that extends far beyond our branches.


Our vision is to be our members' first choice by providing experiences that inspire trust, confidence, and long-term relationships. When you join Securityplus, you become part of a purpose-driven team that believes in service, growth, and the power of community.


About this Role:


Securityplus is undergoing a major technological transformation to become one of the most technologically advanced financial institutions in our market, and this role is central to that vision. We are looking for an experienced Data Engineer who embodies our CARES values (Collaboration, Agility, Respect, Excellence, and Spirit) in how they approach their work and teammates. You will design, build, and manage robust data pipelines that enable us to unlock the full potential of our data.


You will be the primary engine for extracting and transforming data from our core banking system (Fiserv DNA) to support everything from our upcoming CRM implementation to advanced Business Intelligence visualizations. You'll work directly with our executive team to translate their data needs into clear, actionable dashboards and reporting.


The ideal candidate is someone who can make an immediate impact, bringing strong proficiency in Python, experience with complex data transformations, and skill in delivering impactful dashboards using tools such as Power BI, Tableau, or Grafana.

Requirements

In this full-time Exempt role, you'll be responsible for:


Build and Manage Data Pipelines


Develop, construct, test, and maintain highly scalable data management systems and pipelines using Python. Extract, transform, and load (ETL) complex datasets from the Fiserv DNA core system to support various business units. Troubleshoot data issues and optimize pipeline performance to ensure reliability and accuracy.


Modernize Legacy Data Processes


Translate legacy data extraction and filtering processes into clean, efficient Python scripts. Implement data quality frameworks including validation checks, monitoring, alerting, and automated reconciliation to improve data integrity across the organization.


Deliver Business Intelligence


Collaborate directly with executive and senior leaders to understand their data needs and deliver accurate business intelligence visualizations. Build and deploy impactful dashboards using modern BI tools (Power BI, Tableau, Grafana) that support strategic decision-making.


Shape Data Architecture


Play a critical role in the data architecture and integration strategy for current and future projects. Ensure data architecture is secure, scalable, and adheres to credit union compliance, data governance, and sovereignty standards.


Support Compliance and Documentation


Support compliance and regulatory reporting requirements (e.g., NCUA Call Reports, HMDA, BSA/AML) by ensuring accurate and auditable data flows. Create and maintain comprehensive documentation for data pipelines, data dictionaries, and architectural diagrams.


How Success is Measured


Pipeline Reliability: 

Ensuring the reliability, accuracy, and timeliness of data pipelines and ETL processes that support business units and executive reporting


Data Quality:

Improving data quality and consistency across the organization through effective validation and reconciliation frameworks

Business Impact: Delivering actionable dashboards and visualizations that support strategic decision-making, CRM implementation, and regulatory compliance


What You'll Bring to the Table:

  • Bachelor's degree in computer science, Information Systems, Data Engineering, or a related field; equivalent combination of education and relevant experience will be considered
  • 3-5 years of professional experience in data engineering or a similar role
  • Strong proficiency in Python, specifically for data manipulation and automation
  • Advanced SQL skills and experience working with complex relational databases
  • Experience building and deploying data visualizations using modern BI tools (Power BI, Tableau, etc.)
  • Demonstrated ability to work independently and manage multiple data initiatives simultaneously
  • Excellent communication skills with the ability to explain technical data concepts to non-technical business leaders

Preferred:

  • Direct experience working with Fiserv DNA or other banking core systems
  • Previous experience in the credit union or broader financial services industry
  • Hands-on experience with Microsoft Power BI
  • Proficiency with Python data science libraries (Pandas, NumPy, Matplotlib)
  • Familiarity with cloud data platforms (e.g., Azure SQL, AWS RDS)
  • Experience with legacy data parsing tools and migration to modern codebases

Why You'll Love Working at Securityplus:


Mission-Driven Organization:

You'll be part of a credit union that empowers people with financial security.


Competitive Salary & Benefits Package:

We offer a competitive salary and comprehensive retirement benefits, including a 401(k) with company contributions, health, dental, and vision coverage, along with the opportunity to earn an annual performance bonus.


Opportunities for Career Growth:

We value internal development and offer opportunities for career progression into new roles and other departments.


Work-Life Balance:

We believe in work/life balance. No burnout allowed here!


Culture of Fun and Collaboration:

No egos, no endless meetings-just a team of passionate people who genuinely love working together.


Equal Employment Opportunity


Securityplus Federal Credit Union provides equal employment opportunities to all applicants and employees and strictly prohibits any type of harassment or discrimination in regard to race, religion, age, color, sex, disability status, national origin, genetics, sexual orientation, protected veteran status, gender expression, gender identity, or any other characteristic protected under federal, state, and/or local laws.


Reasonable Accommodations Statement


Consistent with the Americans with Disabilities Act (ADA), it is the policy of Securityplus Federal Credit Union to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Securityplus Federal Credit Union's Human Resources Department at 410.281.6200.


Physical Demands and Work Environment


This position involves typical office work such as the use of the PC, reviewing manuals and related office papers, the use of the telephone, fax, and photocopy machines. While performing the duties of this job, the employee is required to sit, occasionally stand, walk, reach, talk, and hear. The employee may occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. The noise level in the work environment is usually low to moderate.


At-Will Statement


Your employment with Securityplus Federal Credit Union is on an at-will basis, meaning either you or the Company can terminate the employment relationship at any time, for any or no reason, and with or without cause or notice. As an at-will employee, your employment with Securityplus Federal Credit Union is not guaranteed for any length of time.