Frederick Fox

The ideal candidate will bring strong expertise in Python development for data-intensive applications, including hands-on proficiency with SQL and PySpark.This role involves building scalable data pipelines, improving data quality and reliability, and collaborating with cross-functional teams to support analytics, reporting, and machine learning initiatives.Key Responsibilities<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Design, build, and maintain robust ETL/ELT pipelines and data workflows using Python.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Implement best practices for data architecture, modeling, and processing at scale.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Collaborate with team members to leverage Azure DevOps for CI/CD, release management, and automated testing.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Ensure compliance with data governance, quality, and security standards.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Mentor junior engineers and contribute to the growth of engineering best practices.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Partner with stakeholders (data scientists, analysts, business teams) to deliver reliable data solutions.</li>
</ul>Qualifications<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">5+ years of professional experience in data engineering or related roles.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong proficiency in Python, with proven experience in data-focused libraries (e.g., PySpark, Pandas).</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Hands-on experience designing and consuming RESTful APIs or GraphQL endpoints.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Proficiency in SQL and relational databases (e.g., SQL Server, PostgreSQL, MySQL).</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Solid experience with data lakes and data warehouses.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Familiarity with cloud environments is a plus, with Azure experience preferred.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Familiarity with Microsoft Fabric (Data Lakehouse, Fabric pipelines, or Fabric Data Warehouses) is a strong plus.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Hands-on experience with Azure DevOps tools: pipelines, repositories, boards, and artifacts.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Strong knowledge of CI/CD pipelines and version control (Git).</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Excellent problem-solving, communication, and collaboration skills.</li>
</ul>Preferred Skills<ul style="margin:0px;padding-left:40px;">
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Exposure to machine learning workflows and MLOps practices.</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Experience using donor management systems (Salesforce NPSP in particular).</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Knowledge of containerization a plus (Docker/Kubernetes).</li>
<li style="line-height:1.2;font-family:Arial;font-size:14px;color:rgb(0, 0, 0);margin:0px;">Some familiarity with Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates is a bonus.</li>
</ul>

The ideal candidate will bring strong expertise in Python
development for data-intensive applications, including hands-on
proficiency with SQL and PySpark.

This role involves building scalable data pipelines, improving
data quality and reliability, and collaborating with
cross-functional teams to support analytics, reporting, and
machine learning initiatives.

Key Responsibilities

* Design, build, and maintain robust ETL/ELT pipelines and data
workflows using Python.
* Implement best practices for data architecture, modeling, and
processing at scale.
* Collaborate with team members to leverage Azure DevOps for
CI/CD, release management, and automated testing.
* Ensure compliance with data governance, quality, and security
standards.
* Mentor junior engineers and contribute to the growth of
engineering best practices.
* Partner with stakeholders (data scientists, analysts, business
teams) to deliver reliable data solutions.
Qualifications

* 5+ years of professional experience in data engineering or
related roles.
* Strong proficiency in Python, with proven experience in
data-focused libraries (e.g., PySpark, Pandas).
* Hands-on experience designing and consuming RESTful APIs or
GraphQL endpoints.
* Proficiency in SQL and relational databases (e.g., SQL Server,
PostgreSQL, MySQL).
* Solid experience with data lakes and data warehouses.
* Familiarity with cloud environments is a plus, with Azure
experience preferred.
* Familiarity with Microsoft Fabric (Data Lakehouse, Fabric
pipelines, or Fabric Data Warehouses) is a strong plus.
* Hands-on experience with Azure DevOps tools: pipelines,
repositories, boards, and artifacts.
* Strong knowledge of CI/CD pipelines and version control (Git).
* Excellent problem-solving, communication, and collaboration
skills.
Preferred Skills

* Exposure to machine learning workflows and MLOps practices.
* Experience using donor management systems (Salesforce NPSP in
particular).
* Knowledge of containerization a plus (Docker/Kubernetes).
* Some familiarity with Infrastructure as Code (IaC) tools such
as Terraform, Bicep, or ARM templates is a bonus.

Python Developer

About the role

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