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Senior Data Engineer Jobs (NOW HIRING)

CINC Systems

Senior Data Engineer

$108K - $147K/yr

Senior Data Engineer Location: Worldwide (Remote/Hybrid) Senior Data Engineer About CINC Systems CINC Systems is the leading provider of accounting and management software for the community ...

FOCUSPOINT

Senior Data Engineer (Remote)

Nashville, TN · On-site

$110K - $132K/yr

Senior Data Engineer (Azure / Databricks) Location: Remote Employment Type: Full time Compensation: Commensurate with experience FocusPoint is actively building a pipeline of Senior Data Engineers ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Ad Hoc

Senior Data Engineer

Mclean, VA · Remote

$107K - $145K/yr

Senior Data Engineer Job Number: 912 This is a remote position. Ad Hoc is a technology company that empowers organizations to deliver scalable, impactful digital services. Using modern, agile methods ...

IQUASAR LLC

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Senior Data Engineer ● Position Type: Hybrid ● Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based ...

Donato Technologies, Inc

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA (Local candidates preferred) or with in the time zone Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

Addison Group

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a Senior Data Engineer to our team due to growth. What we need is someone who comes 8+ years of ...

CINC Systems

Senior Data Engineer

$108K - $147K/yr

Senior Data Engineer Location: Worldwide (Remote/Hybrid) Senior Data Engineer About CINC Systems CINC Systems is the leading provider of accounting and management software for the community ...

iQuasar LLC

Senior Data Engineer

Washington, DC · On-site

$119K - $162K/yr

Senior Data Engineer • Position Type: Hybrid • Location : Washington, D.C Role Specific Duties/ Role Responsibilities: * Plan, design, build, test, deploy, and maintain highly scalable web-based ...

Hirekeyz Inc

Senior Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

Senior Data Engineer Location: Sunnyvale, CA Job Type: Contract/W2 Key Skills: Tableau, Python, Snowflake. Overview: We are seeking an experienced Senior Data Engineer with at least 8 years of ...

GDIT

Senior Data Engineer

WV · On-site +1

$95K - $129K/yr

No Senior Data Engineer Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative ...

Conch Technologies Inc

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no C2C Job Summary We are looking for a Senior Data Engineer with strong hands-on experience building ...

Navtech, Inc.

Sr Data Engineer

Lake Saint Louis, MO · On-site

$108K - $130K/yr

Senior Data Engineer Position Purpose: This position will provide the IT Shared Services with a platform for real-time stream processing by performing application and production support to help ...

ICS Global Soft INC

Senior Data Engineer

Boston, MA · On-site +1

$115K - $156K/yr

Data Engineer & Senior Data Engineer Location: Remote or Boston, MA & San Mateo, CA Duration: FTE Candidates need to be able to manage data modeling and themovement of data from any disparate system ...

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How much do senior data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for senior data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

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 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 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 do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.
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Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.

Senior Data Engineer

CINC Systems

Remote

$108K - $147K/yr

Full-time

Posted 6 days ago

Job description

Senior Data Engineer
Location: Worldwide (Remote/Hybrid)
Senior Data Engineer
About CINC Systems
CINC Systems is the leading provider of accounting and management software for the community association management industry. Ou platform powers over 50,000 associations and 6 million homes, connecting property managers, boards, and residents through secure reliable, and intelligent technology.
We are modernizing our platform into an AI-enabled, modular ecosystem that connects financial data, operations, and user experience in new ways. The data foundation is critical to that mission. We are looking for a Senior Data Engineer who blends strong data engineering skills with applied AI knowledge to design systems that deliver accurate, reliable, and intelligent insights at scale.
About the Role
The Senior Data Engineer is a hands-on technical leader responsible for designing and building data systems that power analytics, automation, and applied AI across the CINC ecosystem.
You will architect, build, and optimize pipelines that move data seamlessly between transactional systems, data platforms, and AI-powered applications. You will work closely with AI engineers, product teams, and architects to ensure that data is accessible, reliable, and designed for intelligent applications.
This role is ideal for a technically strong engineer who is passionate about transforming complex data into valuable, actionable intelligence. You combine the rigor of a systems engineer with the curiosity of a data scientist and the mindset of a product builder.
Key Responsibilities
  • Design and build robust, scalable, and secure data pipelines to collect, transform, and serve data for analytics, APIs, and AI applications
  • Architect and maintain modern data infrastructure across cloud environments (AWS preferred) using services such as Lambda, Glue, Athena, EventBridge, and S3
  • Partner with AI and application engineering teams to provide structured, high-quality data for training, inference, and real-time decision systems
  • Develop and maintain data models and schemas optimized for both analytics and operational use
  • Design data contracts and governance patterns that ensure data lineage, versioning, and reliability across microservices and AI systems
  • Build streaming and event-driven data architectures that support low-latency, high-integrity data flows
  • Implement data quality automation and observability systems that detect anomalies and validate pipeline health
  • Work with Product and Analytics to define KPIs, metrics, and usage data pipelines that help measure business impact
  • Collaborate with AI engineers to integrate embedding pipelines, RAG (retrieval-augmented generation) data sources, and feature stores for intelligent applications
  • Drive continuous improvement in data engineering practices through code reviews, pairing, and knowledge sharing
  • Participate in architecture reviews and contribute to broader engineering standards around data security, compliance, and scalability
  • Leverage AI-native tools and techniques to improve data classification, anomaly detection, and metadata enrichment
Qualifications
Technical Expertise
  • 8+ years of experience in data engineering or backend software engineering with a strong focus on large-scale data systems
  • Advanced proficiency in SQL and one or more programming languages such as Python, TypeScript, or Java
  • Experience designing and operating event-driven data architectures and microservices using AWS services (EventBridge, S3, Lambda, API Gateway, DynamoDB, Glue)
  • Strong understanding of relational and analytical databases including SQL Server, Postgres, or Redshift
  • Experience building and maintaining ETL and ELT pipelines with strong data modeling, versioning, and testing practices
  • Familiarity with AI and ML data patterns including embeddings, feature stores, and RAG pipelines
  • Knowledge of API-based data access and GraphQL or REST API design principles
  • Experience applying DevOps principles to data engineering including CI/CD pipelines, IaC, and observability
  • Understanding of data governance, access control, and privacy best practices
Applied AI and Product Thinking
  • Experience supporting AI and ML applications in production, including integration with APIs like OpenAI, Anthropic, or Bedrock
  • Practical understanding of how data quality and architecture affect AI outcomes and product experiences
  • Ability to design pipelines that deliver data optimized for model training, fine-tuning, and real-time inference
  • Experience working with vector databases such as Weaviate, Pinecone, or Postgres pgvector
  • Skilled at identifying opportunities to use automation and AI to improve data engineering workflows
Collaboration and Leadership
  • Hands-on engineer who leads by doing, enabling others through clarity and communication
  • Excellent communicator able to bridge the gap between engineering, product, and analytics teams
  • Structured thinker with the ability to diagnose system constraints and simplify complex data flows
  • Collaborative mindset with strong ownership and a focus on measurable business impact
  • Comfortable mentoring others and setting standards for data craftsmanship across teams
Mindset and Values
  • Believes that AI is an amplifier of strong fundamentals and that reliable, well-designed data systems are the foundation of intelligence
  • Operates with a builder’s mindset, focused on outcomes, not tools
  • Customer-obsessed, motivated by delivering insights and experiences that make a difference in users’ lives
  • Embraces continuous improvement, experimentation, and learning
  • Values simplicity, reliability, and transparency in both systems and communication
  • Balances innovation with stability, knowing that smooth is fast
What Success Looks Like
  • Data systems are highly reliable, observable, and integrated with the AI and product ecosystem
  • Product and AI teams can access clean, well-structured data with minimal friction
  • Data flow is event-driven, resilient, and supports real-time decision-making
  • AI-enabled features deliver measurable business and user impact because of data reliability and clarity
  • The Senior Data Engineer is recognized as a multiplier, improving both the data platform and the engineering culture
CINC is an Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities.

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