Data Engineer

Daxko builds the software that powers fitness, wellness, and community organizations-everything from member management and payments to digital engagement and analytics. From small studios to the largest associations, we help thousands of fitness businesses streamline operations, enhance member experiences, and drive sustainable revenue growth. As a Senior Data Engineer at Daxko, you'll own the data systems that power how our business understands itself. That means designing and building the pipelines, models, and architectures that feed reporting, analytics, and data platform capabilities across our product lines. You'll work alongside Data Science, Product, and Engineering teams to make data more reliable, more accessible, and more useful. This role is right for someone who brings both technical depth and a coaching mindset. What you'll do

• Design, build, and maintain scalable data pipelines that support reporting, analytics, and platform needs across Daxko's product lines
• Own data architecture decisions at the product level, including schema design, data modeling, and ETL/ELT strategy using Kimball dimensional modeling and star-schema patterns
• Identify pipeline bottlenecks and performance gaps, then implement durable fixes that improve data reliability and freshness
• Lead and contribute to code and design reviews, giving actionable feedback grounded in data engineering best practices
• Partner cross-functionally with Data Science, Product, and Engineering to expand how data is understood and used across the organization
• Mentor junior and mid-level engineers, shaping team standards and driving a culture of technical quality
• Evaluate and adopt emerging data tools and methodologies to improve team velocity and platform capability, Remote or Hybrid United States Easy Apply 134K-203K Annually Senior level 134K-203K Annually Senior level Artificial Intelligence * Cloud * Computer Vision * Hardware * Internet of Things * Software Lead design and operation of large-scale data pipelines and data APIs. Build Spark/PySpark workflows on Databricks, optimize job performance, manage data quality and observability, and develop MCP servers and AI-agent integrations. Mentor engineers, define standards, support production incidents and on-call rotations, and collaborate with stakeholders to deliver scalable data platform products. Top Skills: Apache IcebergApi GatewayAWSAws LambdaAws Rds/AuroraAzureDatabricksDatadogDbtFastapiFivetranGCPGoogle BigqueryLlms/Ai AgentsMcp ServersMs Sql ServerMySQLOraclePostgresPysparkPythonS3SecretsmanagerSnowflakeSnsSparkSplunkSQLSqs Applied Systems

Data Engineer

5 Days Ago Remote or Hybrid United States 70K-160K Annually Senior level 70K-160K Annually Senior level Cloud * Insurance * Payments * Software * Business Intelligence * App development * Big Data Analytics Design, build, and optimize BigQuery-based data solutions and data models. Manage data storage, partitioning, clustering, ETL, and data quality. Collaborate with architects, data scientists, and engineers to deliver scalable, secure cloud data infrastructure and documentation; senior hires provide technical leadership, code review, and process improvement. Top Skills: Ansi Sql)BigQueryConfluenceGoogle Cloud Platform (Gcp)JIRAPythonSql (Bigquery Sql Block

• 4+ years of experience in data engineering or a closely related software engineering discipline
• Expert-level SQL/TSQL skills and deep experience with query optimization and data storage
• Proficiency in Python for pipeline and application development
• Hands-on experience with columnar databases and cloud-native platforms such as Snowflake, Amazon Redshift, or Databricks
• Experience designing ETL/ELT workflows and dimensional data models (Kimball methodology is a strong plus)
• A track record of writing well-tested, production-grade code and working within Agile delivery frameworks
• Clear communication skills, with the ability to explain complex data decisions to both technical and non-technical stakeholders

Nice to have

• 7+ years of experience in data engineering or software engineering with a data focus
• Experience with modern data platform tooling such as dbt, Airflow, or Spark
• Familiarity with real-time streaming platforms (Kafka, Kinesis) or serverless query solutions (Athena, Redshift Spectrum)
• Experience with containerization (Docker, Kubernetes), REST APIs, or AWS services such as Lambda, SNS, or SQS

Daxko is dedicated to pursuing and hiring a diverse workforce. We are committed to diversity in the broadest sense, including thought and perspective, age, ability, nationality, ethnicity, orientation, and gender. The skills, perspectives, ideas, and experiences of all of our team members contribute to the vitality and success of our purpose and values. We truly care for our team members, and this is reflected through our offices, and benefits, and great perks. These perks are only for our full-time team members. Some of our favorites include: Flexible paid time off ️ Affordable health, dental, and vision insurance options Monthly fitness reimbursement 401(k) matching New-Parent Paid Leave Casual work environments Flexible work - remote & hybrid All your information will be kept confidential according to EEO guidelines. #LI-Remote Where you fall within the compensation range is based on how you demonstrate the skills and competencies needed for the role. We typically reserve the upper half of our compensation bands for team members who have grown within Daxko. In addition to base salary, some roles may be eligible for bonuses, commissions, or other performance-based incentives. We also offer a comprehensive benefits package, recognition programs, and plenty of opportunities to grow your career with us. The pay range for this role is $104,100 - $164,900 per year., 168K-297K Annually Senior level 168K-297K Annually Senior level Blockchain * eCommerce * Fintech * Payments * Software * Financial Services * Cryptocurrency Design and maintain data architecture and pipelines to support compliance and risk teams. Build and optimize data models, standardize metrics, and create data dictionaries. Implement data quality, lineage monitoring, AI-driven agents for false-positive reduction and automation, and participate in on-call rotations to ensure SLAs are met. Top Skills: AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform

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