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Software Developer

Actalent

The Role

Overview

Develop & optimize data pipelines, ETL, Power Platform & Salesforce integrations.

Key Responsibilities

  • power platform
  • etl pipelines
  • data automation
  • data governance
  • salesforce integration
  • machine learning

Tasks

-Work closely with developers and cross-functional teams to align data and application initiatives with strategic business objectives. -Translate complex datasets into clear, business-focused information to support decision-making. -Acquire, cleanse, and model data from multiple sources to enable comprehensive business reporting and insights. -Foster a culture of innovation, continuous improvement, and knowledge sharing within the team. -Develop and deploy custom applications and workflows using Power Platform tools (Power BI, Power Apps, Power Automate). -Design, develop, and maintain scalable ETL/ELT pipelines using Python, SQL, and Snowflake to support robust data integration and analytics. -Identify and implement automation opportunities using Python, Power Automate, Azure Data Factory, and other low-code platforms. -Manage scheduled data uploads and implement rigorous data quality checks to ensure accuracy and reliability. -Integrate and automate data flows within Salesforce CRM, enhancing usability for marketing, sales, and customer success teams. -Incorporate machine learning models into business systems and CRM processes to drive advanced analytics and automation. -Provide ongoing support and troubleshooting for data-driven business solutions. -Establish and enforce data governance protocols, including validation, lineage tracking, and consistency across automated workflows. -Collaborate with analysts and business units to define KPIs, build dashboards, and deliver actionable insights through timely and accurate data provisioning.

Requirements

  • python
  • power platform
  • salesforce
  • snowflake
  • sql
  • 3-5 years

What You Bring

-Full-time experience preferred -Advanced proficiency in Python for data manipulation, modelling, and automation -Years of experience: 3-5 years of experience in data science, analytics, or automation roles. -Degree requirement: Preferred degree, Bachelor’s or Master’s in Computer Science, Engineering or any of the related field. Open to 2 year degree with 5+ years of experience -Expertise in application development and integration using Power Platform (Power BI, Power Apps, Power Automate) and Salesforce CRM -Relevant experience in roles such as Data Scientist, Data Engineer, Application Developer, Analytics Engineer, or Automation Specialist would provide a strong knowledge basis walking in the door. -Strong experience with Snowflake and SQL for data warehousing and analytics

Benefits

-401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available -Employee Assistance Program -Time Off/Leave (PTO, Vacation or Sick Leave) -Medical, dental & vision -Critical Illness, Accident, and Hospital -Transportation benefits -Short and long-term disability -Health Spending Account (HSA) -Life Insurance (Voluntary Life & AD&D for the employee and dependents)

The Company

About Actalent

-Born in July 2021 by merging Aerotek’s engineering & sciences arm with EASi, Actalent emerged as a focused engineering-and-science partner. -Backed by Allegis Group, it drives scale and speed to market via contract, managed, and technical services. -Headquartered in Maryland with global reach, it deploys specialized teams across North America, Europe, and APAC on Fortune 500 projects. -Typical engagements span EV design, vaccine development, lab services, clinical research, and infrastructure systems. -Expertise covers a wide spectrum: aerospace, defense, healthcare, manufacturing, software systems, environmental and civil engineering.

Sector Specialisms

Utilities

Power

Automotive

Food and Beverage

Consumer Products

Industrial Goods

Manufacturing

Mechanical Engineering

Electrical Engineering

Systems and Software

Transmission Engineering

Distribution Engineering

Grid Automation

Transportation

Life Sciences

Pharmaceuticals

Biopharmaceuticals

Diagnostics

Academic Research

Medical Devices

Specialty Chemicals

Construction Management

Environmental

Architecture

Civil