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Senior Data Pipeline Engineer Jobs (NOW HIRING)

Incident IQ

Senior Data Engineer

Alpharetta, GA

$103K - $140K/yr

Data Pipeline Engineering: Build and maintain robust, automated ETL/ELT pipelines to extract and ... Senior Data Engineer Requirements: * Experience: Minimum of 5-7 years of professional experience in ...

Incident IQ

Senior Data Engineer

Atlanta, GA

$101K - $138K/yr

Data Pipeline Engineering: Build and maintain robust, automated ETL/ELT pipelines to extract and ... Senior Data Engineer Requirements: * Experience: Minimum of 5-7 years of professional experience in ...

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Sr Data Engineer

Los Angeles, CA · On-site

$1 - $2/hr

As a Sr Data Engineer you will play a pivotal role in building and maintaining the core data ... Develop and manage real-time streaming data pipelines using modern data processing frameworks

MSR Technology Group

ETL Data Engineer

Springfield, IL · Remote

$113K - $136K/yr

S.) with Minimal travel (2-3x per year) Overview We're hiring a Senior Data Engineer to lead enterprise ETL modernization initiatives, transitioning legacy data pipelines (e.g., Informatica, on-prem ...

1 point system

Senior Data Engineer

Boca Raton, FL · On-site

$100K - $136K/yr

* Seeking a Senior Data Engineer to support and scale critical AI‑driven data initiatives powering ... Build and optimize micro‑batch data pipelines with refresh intervals of ~1-2 minutes * Ensure ...

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My3Tech Inc

Azure Data Engineer

$117K - $140K/yr

The senior data engineer should have skills and experience building data analytics pipelines using Azure Data Lake Gen2 (Blob Storage), Azure Data Factory (Pipelines and Data Flows), Azure Data ...

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Senior Data Pipeline Engineer information

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

As of Jul 6, 2026, the average yearly pay for senior data pipeline 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 are the key skills and qualifications needed to thrive as a Senior Data Pipeline Engineer, and why are they important?

To thrive as a Senior Data Pipeline Engineer, you need strong expertise in data engineering, programming (Python, Java, or Scala), and a solid understanding of ETL processes, often backed by a degree in computer science or a related field. Familiarity with big data tools such as Apache Spark, Kafka, Airflow, and cloud platforms like AWS or GCP, as well as relevant certifications, is typically required. Excellent problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and address complex data challenges. These skills and qualifications are crucial for building robust, scalable, and efficient data pipelines that support critical business analytics and decision-making.

What are some typical challenges Senior Data Pipeline Engineers face when ensuring data quality and reliability?

Senior Data Pipeline Engineers frequently encounter challenges such as handling large volumes of diverse data, ensuring timely and accurate data delivery, and implementing robust monitoring to detect failures early. Managing data consistency across distributed systems and balancing real-time processing with batch workloads are also common hurdles. Collaborating closely with data scientists, analysts, and DevOps teams is essential to resolve data quality issues and maintain reliable pipelines in a dynamic environment.

What is a Senior Data Pipeline Engineer?

A Senior Data Pipeline Engineer is a highly skilled professional responsible for designing, building, and maintaining the systems that move and process large amounts of data within an organization. They ensure data is collected, transformed, and made available to analysts, data scientists, and business applications in a reliable and efficient manner. Senior engineers typically lead projects, mentor junior staff, and make critical decisions about data architecture and technology choices. Their work is essential for organizations that rely on data-driven insights and operations.
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Senior Data Pipeline Engineer jobs near you
Infographic showing various Senior Data Pipeline Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 3% As Needed, 53% Full Time, 42% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,328 per year, or $60.7 per hour.
Senior Data Engineer

Senior Data Engineer

Incident IQ

Alpharetta, GA

$103K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

Company Overview:

About Us:
Atlanta-based Incident IQ is the leading workflow management platform built exclusively for K-12 districts. Trusted by over 2,000 districts, Incident IQ powers mission-critical services for more than 12 million students and educators nationwide. By connecting technology and operational workflows, Incident IQ enables schools to streamline processes, reduce administrative burdens, and focus on what matters most: supporting students.

Purpose:
Incident IQ is committed to creating a future where every K-12 district operates with seamless efficiency. When operations are unified on a single platform, districts gain the clarity and control needed to build a stronger foundation for student success. We're focused on delivering the tools, support, and partnerships that help make that vision a reality.

Mission:
Incident IQ is on a mission to eliminate the friction of disconnected systems and clunky workflows that slow schools down. We're reimagining the critical work that happens behind the scenes, bringing visibility, efficiency, and impact to the processes that keep classrooms running. By streamlining the complex, automating the routine, and surfacing the insights that matter most, we can create the conditions for educators to teach, students to thrive, and districts to shape the future of education.

Senior Data Engineer Overview:

We are seeking an experienced and visionary Senior Data Engineer to lead the design, architecture, and population of our new BI data warehouse. This role is highly cross-functional and critical to Incident IQ's next phase of growth. You will be responsible for aggregating complex data streams from our core SaaS platform (SQL, MongoDB) and third-party systems (Salesforce, Gainsight, etc.) into a centralized data warehouse/lake.

In this role, you will empower the entire company by unlocking internal reports and actionable insights. Furthermore, you will play a pivotal role in productizing this data by collaborating with product teams to build a scalable, customer-facing analytics version embedded within our platform.

Senior Data Engineer Responsibilities:

  • Data Warehouse Architecture: Design, implement, and scale a modern BI data warehouse/data lake from the ground up, tailored to support both internal business analytics and external customer-facing reporting.
  • Data Pipeline Engineering: Build and maintain robust, automated ETL/ELT pipelines to extract and aggregate data from diverse sources including our SaaS platform databases (SQL, MongoDB), Salesforce, Gainsight, and other external APIs.
  • Customer-Facing Analytics: Collaborate with Product and Engineering teams to design the underlying data architecture for embedded, customer-facing analytics within the Incident IQ platform.
  • Data Quality & Governance: Establish and enforce data governance, quality checks, and performance optimization practices to ensure high data integrity and rapid query response times.

Senior Data Engineer Requirements:

  • Experience: Minimum of 5-7 years of professional experience in Data Engineering, BI Engineering, Analytics Engineering, or Data Architecture, specifically within a high-growth SaaS environment.
  • Data Warehousing: Deep expertise in modern cloud data warehousing solutions (e.g., Snowflake, Databricks, Azure Synapse, or AWS Redshift) and data lake architectures.
  • Pipeline Development: Proven experience building complex ETL/ELT pipelines using tools like dbt, Apache Airflow, Azure Data Factory, or similar orchestration frameworks.
  • Database Mastery: Advanced proficiency in complex SQL, query tuning, and working with both relational (SQL Server, PostgreSQL) and NoSQL (MongoDB) databases.
  • SaaS Integrations: Hands-on experience extracting and integrating data from enterprise GTM tools such as Salesforce, Gainsight, Marketo, or similar platforms.
  • Programming: Proficiency in languages such as Python, Scala, or C# for data manipulation and automation.

Senior Data Engineer Personality & Soft Skills:

  • Strategic Builder: You don't just write scripts; you think holistically about how data architecture drives business outcomes and product differentiation.
  • Cross-Functional Communicator: You can translate complex technical data models into plain business language for stakeholders, and vice versa.
  • Autonomous Ownership: You thrive in environments where you can take a high-level goal, determine the technical path, and execute with minimal hand-holding.
  • Inquisitive Problem Solver: You are naturally curious about how the business operates and how data can be used to uncover hidden efficiencies.
  • Collaborative Team Player: Focused on the success of the platform and the company over personal credit.

What makes Incident IQ different:

  • We facilitate whole-person growth where employees can develop personally as well as professionally.
  • We offer an energetic and collaborative environment; everyone's opinion matters!
  • We produce software that empowers K-12 schools to run efficiently, allowing for a better classroom experience for students to THRIVE!
  • We provide excellent work/life balance. Two amazing offices - a Downtown Atlanta office location and one at Halcyon in Alpharetta!

Incident IQ offers a competitive salary based on experience with a benefits package for full-time employees that includes medical, dental, vision, life insurance, 401k match, and paid-time off (PTO).

Incident IQ is an Equal Opportunity Employer