Data Engineer
Fa Etqo Saasfaprod1 Open · verified Oct 24, 2026 United States Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at Fa Etqo Saasfaprod1. United States · no salary stated · we estimate $112,500–$160,000 across the United States.
Estimated pay
Fa Etqo Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.
$112,500 – $160,000
What the middle half of mid-level data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 386 postings that stated pay, median $134,547. Last updated Oct 24, 2026.
RoleData Engineering
SeniorityMid-level
LocationUnited States
PostedSep 22, 2026 · 4w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build batch and real-time ETL pipelines in Azure Data Factory, with Azure Data Factory as your primary pipeline tool
- Design ETL and ELT data flows, using SSIS or Informatica as additional tools
- Develop data solutions across Azure services, including Databricks, Delta Lake, ADLS and Synapse
- Apply data architecture and management principles to sourcing, ingestion, curation and storage
- Design real-time or near-real-time data warehouse solutions and approaches
What you bring
- Hands-on knowledge of Azure data services, including Data Factory, Azure SQL Database, Functions and Logic Apps
- You can program in Python, SQL, Spark and Scala, including work with Spark notebooks
- Strong development and design skills with relational databases such as MS SQL Server or Oracle 10g
- You have worked with big data architecture, data sourcing and ingestion, curation, and storage
Who this fits
This role suits a data engineer focused on Azure pipelines, data architecture and warehouse design. The listing also names Salesforce migration as a useful area of experience.
From the employer
Expertise on Azure platforms including Azure Databricks, ADLS, and its various components, • In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure SQL Database, Azure Functions, Logic apps, Spark and Python programming etc. • Expertise on Azure platforms including Azure Databricks and its various components, including Delta Lake. • Strong understanding of data architecture and data management principles. • In-dept knowledge and hands-on experience in Microsoft Azure data stack i.e., Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Functions, Logic apps, Spark Knowledge etc. • In-depth Knowledge on designing of ETL Piplines for Batch and Real time in Azure data factory and Azure datafactory • Hands on experience on Function apps , Event Hubs,, Web apps , API M. • Good have to experience on Migration to Salesforce • Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory as Primary skill and SSIS/Informatica as additional skills. • Proficiency in programming languages such as Python, SQL, Spark notebooks and Scala. • Must have strong development & design skills in leading RDBMS environments e.g. MS SQL Server and Oracle 10g. • Experience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms. • Experience with real-time / near-real-time Data warehousing concepts and Design approaches.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.