Sr. Data Engineer – Data & Intelligence - Frisco, TX (Hybrid) Local

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Adarsh Sharma

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May 15, 2026, 5:44:12 PM (yesterday) May 15
to Adarsh Sharma, Ankit Jaiswal, empowerpro...@jobdivaemail.com

HI,

My name is Adarsh, and I am a Technical Recruiter from Empower Professionals Inc. I wanted to reach out regarding Sr. Data Engineer – Data & Intelligence with one of our clients based in Frisco, TX (Hybrid)

. Please let me know if you are available in the job market and interested in this role - if so, we can connect and speak further.

 

Role: Sr. Data Engineer – Data & Intelligence

Location: Frisco, TX (Hybrid) Local

Duration: 12+ Months

In-Person interview required

 

Must Have:

  • Advanced SQL (CTEs, window functions, query optimization, execution plans)
  • Snowflake (Snowpipe, Streams, Tasks, Dynamic Tables, performance tuning)
  • Databricks with PySpark (Delta Live Tables, Unity Catalog, job clusters)
  • Python (pandas, PySpark, pytest, logging)
  • DBT (models, tests, snapshots, macros, CI integration)
  • Airflow or Azure Data Factory (DAG design, scheduling, alerting)
  • Azure Cloud (ADLS Gen2, Event Hub, ADF, Azure Functions, Key Vault)
  • Streaming technologies (Apache Kafka / Azure Event Hub, Spark Structured Streaming)
  • Domain: Finance domain – Billing, Revenue, GL, OPEX, revenue recognition, period-end close cycles

 

Responsibilities:

  • Data Pipeline Development
    • Design and build scalable, reliable ELT/ETL pipelines for finance data (billing, revenue, GL, OPEX).
    • Implement batch and incremental ingestion patterns (full load, CDC, watermark-based).
    • Build idempotent, rerunnable pipelines with robust error handling, retry logic, and dead-letter queue patterns.
  • Platform & Tooling
    • Develop and optimize pipelines using Snowflake (Snowpipe, Streams, Tasks, Dynamic Tables, performance tuning).
    • Build data processing workflows in Databricks (PySpark, Delta Live Tables, Unity Catalog, job clusters).
    • Create and maintain dbt models, tests, snapshots, macros, and packages with CI integration.
    • Orchestrate data workflows using Airflow or Azure Data Factory (DAG design, dependencies, scheduling, alerts).
  • Cloud Infrastructure
    • Work within Azure (ADLS Gen2, Event Hub, ADF, Azure Functions, Key Vault) and/or AWS (S3, Glue, Lambda, Secrets Manager).
    • Apply Infrastructure as Code fundamentals (Terraform, Bicep) for pipeline and resource provisioning.
    • Apply cloud cost awareness including compute sizing, partitioning strategies, and storage optimization.
  • Languages & Frameworks
    • Write advanced SQL (CTEs, window functions, query tuning, execution plan analysis).
    • Develop in Python (pandas, PySpark, requests, pytest, logging).
    • Read and modify existing Scala/Spark jobs as needed.
    • Use shell scripting for automation and operational tasks.
  • Streaming & Real Time Processing
    • Build near real time pipelines using Apache Kafka / Azure Event Hub.
    • Implement Spark Structured Streaming with stateful aggregations, watermarking, and checkpointing.
    • Support finance use cases such as revenue reconciliation and fraud signal feeds.
  • Data Quality & Testing
    • Implement unit and integration testing for pipelines (pytest, dbt tests).
    • Create data quality checks (row counts, nulls, duplicates, referential integrity).
    • Use Great Expectations or custom frameworks for validation.
    • Monitor SLAs for pipeline latency and data freshness with alerting.
  • Data Modeling Support
    • Implement architected schemas (star, snowflake, data vault).
    • Manage Slowly Changing Dimensions (SCD Type 1 & 2) for finance entities.
    • Define partitioning and clustering strategies for large-scale finance tables.
    • Support semantic layer definitions (metrics and dimensions).
  • DevOps & Engineering Practices
    • Participate in CI/CD for data pipelines using GitHub Actions or Azure DevOps.
    • Follow Git branching strategies (trunk-based, feature branches).
    • Perform code reviews and enforce engineering standards.
    • Support environment promotion patterns (dev → QA → prod).
  • Security & Governance
    • Implement RBAC and row/column-level security in Snowflake and Databricks.
    • Ensure PII and CPNI handling per T Mobile TISS 310 policy.
    • Manage secrets securely (Key Vault, environment variables, no hardcoded credentials).
    • Implement data lineage and audit instrumentation for compliance.
  • Collaboration & Communication
    • Partner with Data Architects to translate design specs into production-ready pipelines.
    • Work closely with Data Analysts to optimize downstream consumption performance.
    • Communicate pipeline incidents and data issues clearly to business stakeholders.
    • Participate in on-call rotation to support production pipelines.
  • Senior-Level Expectations
    • Own delivery of complex, multi-source pipelines with minimal direction.
    • Mentor junior and mid-level data engineers through pairing and code reviews.
    • Identify and drive technical debt reduction alongside feature delivery.
    • Contribute to and shape team standards, templates, and reusable components.
    • Influence tooling, framework, and platform decisions across the team.

 

Requirements:

  • 8+ years of experience in data engineering or platform engineering roles.
  • Strong experience with Snowflake, Databricks, and dbt in production environments.
  • Advanced SQL and Python skills.
  • Experience building finance or regulated data pipelines at scale.
  • Preferred Qualifications
  • Telecom industry experience (ARPU, churn, prepaid/postpaid metrics).
  • Experience with both Azure and AWS cloud platforms.
  • Prior experience supporting financial reporting and period-end close cycles.

 

 

In compliance with the salary transparency law, the expected pay range for this role is $50 – $60/hr. Actual compensation depends on experience and interview evaluation.

 

Awaiting your quick response. Thanks

 

P.S. Empower is a top vendor to clients such as Apex Systems LLC, Sogeti, Randstad, CapGemini, UST and more.

 

Thanks
Adarsh Sharma
Technical Recruiter | Empower Professionals

Ada...@empowerprofessionals.com 
......................................................................................................................................
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www.empowerprofessionals.com
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