Sr Data Engineer

INSPYR Solutions; Plano (TX); On-site; USD 150,000 - 170,000; Full time

Job summary

A technology consulting firm in Plano, TX, is seeking a Senior Data Engineer to design and optimize cloud-based data platforms. This role includes developing data pipelines, ensuring data quality, and collaborating with cross-functional teams. Candidates should have 8-10 years in data engineering and strong SQL and Python skills. The position is full-time and offers competitive compensation in a dynamic environment.

Qualifications

• 8-10 years in software development or data engineering.
• 5+ years of hands-on SQL experience.
• Proficiency in Python for data manipulation.

Responsibilities

• Develop and maintain robust data pipelines.
• Build and optimize workflows for data.
• Partner with teams to gather requirements.

Skills

SQL

Python

Data pipeline development

Cloud environment experience

Collaboration

Data Quality Assurance

Education

Degree in a quantitative or technical field

Tools

dbt

Airflow

AWS

Azure

Tableau

Power BI

Job description

Base pay range

$150,000.00/yr - $170,000.00/yr

Role: Senior Data Engineer
Location: Plano, TX
Duration: Full Time

Overview We’re looking for a Senior Data Engineer to help design, build, and optimize a modern cloud-based data platform. This role will be focused on creating scalable pipelines, enhancing data flow, and enabling cross-functional teams to access clean, reliable data for decision-making. The right candidate is hands-on with today’s data technologies, enjoys building end-to-end solutions, and thrives in collaborative environments.

Responsibilities

• Pipeline & Platform Development
• Develop and maintain robust data pipelines for ingestion, transformation, and delivery.
• Build and optimize workflows for both batch and streaming data, using tools such as dbt and Airflow.
• Work with large, complex data sets to ensure scalability, performance, and resilience.
• Establish monitoring and alerting systems to track pipeline health and quickly resolve issues.

• Collaboration & Stakeholder Support
• Partner with business and technical teams to gather requirements and deliver reliable data solutions.
• Work closely with analysts, data scientists, and BI developers to transform business questions into technical implementations.
• Improve data accessibility and consistency across teams and systems.

• Data Quality, Security & Governance
• Put frameworks in place to validate, cleanse, and monitor data quality.
• Apply best practices around data security, encryption, and handling of sensitive information.
• Maintain metadata and lineage tracking to ensure clarity and trust in the data.

• Continuous Improvement
• Recommend and implement improvements in pipeline performance, scalability, and automation.
• Contribute to long-term architecture planning to meet evolving data and product needs.
• Research new tools and troubleshoot complex integration and performance issues.

Required Experience

• 8-10 years in software development or data engineering, with exposure to modern data ecosystems.
• 5+ years of hands-on SQL experience, including schema design and dimensional modeling.
• 5+ years designing and maintaining ETL/ELT pipelines, ideally using dbt and Airflow.
• Proficiency in Python for data manipulation and scripting.
• Experience working in cloud environments such as AWS or Azure, with production-grade deployments.
• Demonstrated success in building scalable data systems and optimizing workflows.
• Strong written and verbal communication skills, with the ability to make technical concepts understandable for non-technical audiences.

Preferred Skills

• Familiarity with BI/reporting tools (Tableau, Power BI, Domo, etc.).
• Knowledge of data encryption and governance practices.
• Background in retail or consumer-facing industries.
• Degree in a quantitative or technical field (Math, Engineering, Economics, etc.); advanced degree a plus.

What Makes You a Fit

• You enjoy mentoring and sharing knowledge with peers.
• You can quickly adapt to shifting priorities and handle multiple projects at once.
• You’re comfortable working with both structured and unstructured data.
• You thrive in a team setting but can also operate independently with little oversight.
• You value clear communication and can translate data problems into actionable business outcomes.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Consumer Services