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Senior Data Engineer Manager Jobs in Raleigh, NC

Samprasoft

Senior Cloud Data Engineer

Durham, NC · On-site

$96K - $130K/yr

Senior Cloud Data Engineer Location: Durham North Carolina, Remote till Covid Duration: 12+ months The Expertise and Skills You Bring * Bachelor's degree in computer science or related field required ...

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

The Data Engineer role is responsible for designing, building, and maintaining scalable data ... Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, ...

GEI Consultants

Data Engineer

Cary, NC

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... This includes building ingestion pipelines, managing data stores, implementing quality and ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... This includes building ingestion pipelines, managing data stores, implementing quality and ...

K&L Gates

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

... manage Fabric Notebooks (Python, Spark, SQL) for advanced transformations and automation. • Deploy, monitor, and optimize data pipelines using CI/CD processes in Azure DevOps or GitHub Actions. • ...

New

Dlapiper

Data Engineer

Raleigh, NC

$111K - $133K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Ability to work under pressure and manage competing demands in a fast-paced environment; * Perform ...

Contemporaries

Be Seen First

Data Engineer

Durham, NC · On-site

$57 - $63/hr

... Data Engineer to support environmental health and extreme weather research initiatives. This ... Develop and enhance PTB, CHORDS, and HEW geospatial database management capabilities. * Work with ...

RELX

Consulting Data Engineer

Raleigh, NC

$104K - $174K/yr

This position provides assistance and input to management, develops and leads large multi ... serves as a senior source of expertise. The position may also provide sizing or budget ...

LexisNexis

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

This position provides assistance and input to management, develops and leads large multi ... serves as a senior source of expertise. The position may also provide sizing or budget ...

LexisNexis

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

This position provides assistance and input to management, develops and leads large multi ... serves as a senior source of expertise. The position may also provide sizing or budget ...

RELX Group plc

Consulting Data Engineer

Raleigh, NC · On-site

$104K - $174K/yr

This position provides assistance and input to management, develops and leads large multi ... serves as a senior source of expertise. The position may also provide sizing or budget ...

Mastech Digital

Data Engineer

Durham, NC · On-site

$68/hr

Data Engineer Primary Skills: SQL Role Description: The Data Engineer must have 5+ years of ... managing API to database connections using different relational database drivers (Oracle ...

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All JobsSenior Data Engineer Manager JobsSenior Data Engineer Manager Jobs in Raleigh, NC

Senior Data Engineer Manager information

See Raleigh, NC salary details

$78.7K

$122.8K

$170.1K

How much do senior data engineer manager jobs pay per year?

As of Jul 6, 2026, the average yearly pay for senior data engineer manager in Raleigh, NC is $122,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

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

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

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

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.
What are the most commonly searched types of Senior Data Engineer jobs in Raleigh, NC? The most popular types of Senior Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Senior Data Engineer Manager jobs in Raleigh, NC? For Senior Data Engineer Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Senior Data Engineer Manager jobs in Raleigh, NC look for? The top searched job categories for Senior Data Engineer Manager jobs in Raleigh, NC are:
Senior Data Engineer Manager jobs near you
Infographic showing various Senior Data Engineer Manager job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $122,801 per year, or $59 per hour.
Senior Data Scientist

Senior Data Scientist

Ruri Software Technologies LLC

Raleigh, NC • On-site

Full-time

Posted 17 days ago

Job description

Job Title: Senior Data Scientist
Location :Hybrid (3 days in office) - Raliegh, NC
Experience: 6 to 8 yrs
Job Description:
The Senior Data Scientist will coordinate complex cloud and artificial intelligence initiatives that leverage large language models and advanced machine learning within a hybrid work model. The role will orchestrate projects across AWS, GCP, or Azure environments, ensuring reliable Python based solutions that apply frameworks such as Keras, spaCy, and PyTorch to deliver measurable value for clients and communities.
Required Skills: Python, PyTorch, Machine Learning, Prompt Engineering, Large Language Models, AWS / GCP / Azure Cloud
Responsibilities: Develop and implement LLM based applications tailored for in house legal needs, ensuring they align with Cognizants commitment to excellence and innovation Evaluate and maintain our data assets and training evaluation datasets, ensuring they meet the highest standards of integrity and quality. Design and build pipelines for preprocessing, annotating, and managing legal document datasets, fostering a customer centric mindset. Collaborate with legal experts to understand requirements and ensure models meet domain specific needs, working as one team. Conduct experiments and evaluate model performance to drive continuous improvements, raising the bar in all deliverables. Evaluate AI ML and GenAI outcomes, both human and automated, to ensure accuracy, reliability, and alignment with business objectives. Interface with other technical personnel or team members to finalize requirements, demonstrating ownership of outcomes. Work closely with other development team members to understand complex product requirements and translate them into software designs, ensuring ethical choices in all actions. Successfully implement development processes, coding best practices, and code reviews for production environments, embodying Cognizant s values in every task. Strong hands on experience and foundations in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms. Experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers. Practical experience in Natural Language Processing methods and libraries such as spaCy, word2vec, TensorFlow, Keras, PyTorch, Flair, BERT. Practical experience with large language models, prompt engineering, fine tuning, and benchmarking using frameworks such as LangChain and LlamaIndex. Strong Python background. Knowledge of AWS, GCP, Azure, or other cloud platforms. Understanding of data modelling principles and complex data models. Proficiency with relational and NoSQL databases as well as vector stores e.g Postgres, Elasticsearch OpenSearch, ChromaDB. Knowledge of Scala, Spark, Ray, or other distributed computing systems is highly preferred. Knowledge of API development, containerization, and machine learning deployment is highly preferred. Experience with ML Ops AI Ops is highly preferred. nal environments where programs span different regions, cultures, and regulatory contexts within a day shift structure
Years of Experience: 8.00 Years of Experience
Regards
Surya
Surya@rurisoft.com

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