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Associate Data Engineer Jobs in Frederick, MD (NOW HIRING)

... engineering. Requirements Bachelor's Degree with 10 years of relevant experience, Associates degree ... Data Processing: Data management and curation, data description and visualization, workflow and ...

... engineering. Requirements Bachelor's Degree with 10 years of relevant experience, Associates degree ... Data Processing: Data management and curation, data description and visualization, workflow and ...

... engineering. Requirements Bachelor's Degree with 10 years of relevant experience, Associates degree ... Data Processing: Data management and curation, data description and visualization, workflow and ...

... developers, data engineers, and business analysts to support application and reporting needs ... certification (associate or professional) Education: - Bachelor's degree in Computer Science ...

With experts in biomedical science, software engineering, and program management, we focus on ... Associate Director of Artificial Intelligence, Modeling, and Data to lead our charge at the ...

We are seeking a Associate / Validation Engineer at our Germantown, MD location to join us in our ... Collect, compile and analyze validation data and information with some or minimal supervision ...

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Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for associate data engineer in Frederick, MD is $18.63, according to ZipRecruiter salary data. Most workers in this role earn between $15.29 and $19.86 per hour, depending on experience, location, and employer.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can reach or exceed $500,000 in total compensation. Such roles often require leadership responsibilities, specialized certifications, and work in high-demand industries or companies with competitive pay structures.

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

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What is the salary of a 2.5 year data engineer?

A data engineer with approximately 2.5 years of experience can expect a salary range typically between $80,000 and $120,000 annually, depending on location, industry, and skill set. Proficiency in tools like SQL, Python, and cloud platforms can influence compensation levels.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and typically collaborate with data scientists and engineers to ensure data quality and accessibility.

What are some common challenges an Associate Data Engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.
What are the most commonly searched types of Data Engineer jobs in Frederick, MD? The most popular types of Data Engineer jobs in Frederick, MD are:
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What cities near Frederick, MD are hiring for Associate Data Engineer jobs? Cities near Frederick, MD with the most Associate Data Engineer job openings:
Associate Director, Real World Data Science

Associate Director, Real World Data Science

Otsuka

Rockville, MD

$60K - $60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

The Associate Director of Real-World Data Science is an expert in analysis and methods, providing leadership within Otsuka's OPDC, reporting to the Data and Analytics team. This position demands expertise in research design, and data analysis, including traditional and AI/ML methodologies, that can be applied to health economics research. A visionary approach to managing and optimizing research Real World Data, platforms, processes, and data systems is desired. The successful candidate will possess advanced skills in health economics research, programming and data analysis, focusing on leveraging large healthcare datasets, including claims, electronic health records (EHR), and clinical trial data, data linking/ tokenization, to support value evidence generation.

The responsibilities for this role include collaborating closely with Value Evidence (VE) team and across therapeutic areas to execute HEOR projects and strategies, encompassing pharmaceuticals, devices, and digital health solutions using traditional as well as novel data sources and methodologies. The Associate Director will support successful execution through robust data analyses, project management, and dissemination of HEOR and real-world evidence, late-stage studies to stakeholders. Additionally, the role is critical in producing high-quality research and data to enhance the scientific understanding and the potential value and real-world impact of Otsuka products for payers, healthcare providers, patients, and caregivers.

Responsiblities include:

  • Strategic Leadership: Partner with Value Evidence Strategy to design and lead analytical studies and programming for RWE analysis plans to support value and scientific evidence generation.
  • Cross-Functional Collaboration: Work closely with Value Evidence and Global Medical Affairs teams to support value and scientific evidence generation across Otsuka's product portfolio.
  • Data Analysis and Innovation: Apply fit for purpose traditional or novel methodologies, including AI/ML methodologies, in data and statistical techniques, stay current with new analytical approaches, and collaborate with subject matter experts to design and deliver medically relevant and scientifically valid projects.
  • Protocol Development: Co-lead study protocol development and database query guidelines for internal dataset, overseeing internal analyses to support studies.
  • Pharmacoeconomic Support: Serve as the interface to support pharmacoeconomic and real-world data needs across various departments.
  • Study Management: Co-lead in the preparation and review of study protocols and reports for internal datasets, including statistical analysis plans, and manage associated vendors as appropriate.
  • Data Licensing and Vendor Oversight: Manage department-specific data licensing and platform needs, overseeing vendors and ensuring compliance with licensing terms.
  • Database Identification: Identify appropriate databases (US and ex-US) for licensing to address research questions and align with therapeutic area strategy.
  • External Partnerships: Participate in establishing external partnerships and work on all scientific aspects of projects involving these partnerships.
  • Presentation and Communication: Present analytics for health outcomes projects and information to internal and external groups, including regulatory authorities, key opinion leaders, and at medical and outcomes research conferences.
  • Publications: Participate in publication planning and execution, coordinating with Otsuka Scientific Communications personnel and VES.
  • Advisory Meetings: Support preparation of medical or payer advisory meetings to solicit feedback on Otsuka products and therapeutic areas.
  • Project Execution: Identify and support projects that directly support the economic and quality strategy for Otsuka products.
  • Formulary Submissions: Support in the development of product dossiers and other projects to support different aspects of formulary submissions.
  • Budget Management: Manage budget resources allocated to assigned projects.
  • Education and Awareness: When appropriate, assist in developing educational material for internal and external audience including payer communication field tools.
  • Compliance and Best Practices: Maintain awareness of current strategies, issues, and new data sources, ensuring compliance with all guidelines and best practices for scientific research.

Qualifications/ Required

Knowledge/ Experience and Skills:

  • Experience and Expertise:3-5 years of experience in outcomes research methods and analysis, with strong expertise in non-interventional study designs and statistical analyses.
  • Industry Knowledge:Comprehensive understanding of the healthcare industry, including pharmaceutical R&D, clinical research, commercialization, health technology assessment bodies, managed care marketplace, hospital systems, and integrated systems of care.
  • Technical Skills:Proficiency in statistical programming (SAS and AWS environment required; R preferred), with experience in ML/AI applications.
  • Research and Analytical Skills:Ability to independently develop research hypotheses, study protocols, and statistical analysis plans, with knowledge of epidemiology, economics, psychometrics, and medical writing.
  • Data Utilization:Strong understanding of administrative claims data, electronic medical records, hospital inpatient data, and survey data, including their applications and limitations.
  • Project Management:Proven ability to manage complex projects involving multiple external vendors, with excellent project management skills.
  • Interpersonal and Communication Skills:Excellent interpersonal skills, superior presentation skills, and the ability to manage conflict constructively with minimal supervision.
  • Stakeholder Engagement:Experience working with and overseeing external contractors and vendors, with the ability to understand and respond to customer/payer requests and develop value dossier
  • Travel Requirements:Willingness to travel approximately 10%, including international travel, for conferences, corporate locations, and stakeholder meetings.

Educational Qualifications:

  • PhD or Masters in Health Economics, Outcomes Research, Health Services Research, Public Health or related discipline
  • Three (PhD) to five (Masters) years of relevant experience

Competencies
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.
Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.
Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.
Impactful Communication -Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.
Respectful Collaboration - Seek and value others' perspectives and strive for diverse partnerships to enhance work toward common goals.
Empowered Development - Play an active role in professional development as a business imperative.

Minimum $169,222.00 - Maximum $253,000.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate's job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.

Application Deadline: This will be posted for a minimum of 5 business days.

Company benefits: Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death & dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits.

Come discover more about Otsuka and our benefit offerings;https://www.otsuka-us.com/careers-join-otsuka.

Disclaimer:

This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.

Otsuka is an equal opportunity employer. All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability. You can request reasonable accommodations by contacting Accommodation Request.

Statement Regarding Job Recruiting Fraud Scams

At Otsuka we take security and protection of your personal information very seriously. Please be aware individuals may approach you and falsely present themselves as our employees or representatives. They may use this false pretense to try to gain access to your personal information or acquire money from you by offering fictitious employment opportunities purportedly on our behalf.

Please understand, Otsuka will never ask for financial information of any kind or for payment of money during the job application process. We do not require any financial, credit card or bank account information and/or any payment of any kind to be considered for employment. We will also not offer you money to buy equipment, software, or for any other purpose during the job application process. If you are being asked to pay or offered money for equipment fees or some other application processing fee, even if claimed you will be reimbursed, this is not Otsuka. These claims are fraudulent and you are strongly advised to exercise caution when you receive such an offer of employment.

Otsuka will also never ask you to download a third-party application in order to communicate about a legitimate job opportunity. Scammers may also send offers or claims from a fake email address or from Yahoo, Gmail, Hotmail, etc, and not from an official Otsuka email address. Please take extra caution while examining such an email address, as the scammers may misspell an official Otsuka email address and use a slightly modified version duplicating letters.

To ensure that you are communicating about a legitimate job opportunity at Otsuka, please only deal directly with Otsuka through its official Otsuka Career website https://vhr-otsuka.wd1.myworkdayjobs.com/en-US/External.

Otsuka will not be held liable or responsible for any claims, losses, damages or expenses resulting from job recruiting scams. If you suspect a position is fraudulent, please contact Otsuka's call center at: 800-363-5670. If you believe you are the victim of fraud resulting from a job recruiting scam, please contact the FBI through the Internet Crime Complaint Center at: https://www.ic3.gov, or your local authorities.

Otsuka America Pharmaceutical Inc., Otsuka Pharmaceutical Development & Commercialization, Inc., and Otsuka Precision Health, Inc. ("Otsuka") does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any Otsuka employee directly or through Otsuka's application portal without a valid written search agreement in place for the position will be considered Otsuka's sole property. No fee will be paid if a candidate is hired by Otsuka as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.