Senior Data Engineer--REMOTE

Overview

Remote
Depends on Experience
Full Time

Skills

Extract
Transform
Load
FOCUS
Python
RESTful
Microsoft SSAS
Microsoft SQL Server
SQL Azure
SQL
User Experience
Version Control
Workflow
Software Development Methodology
Microsoft
Microsoft Azure
Microsoft Excel
Database Administration
Customer Focus
Data Integration
Data Validation
Cloud Computing
Collaboration
Communication
Conflict Resolution
Critical Thinking
Accountability
Analytical Skill
Analytics
Attention To Detail
Business Intelligence
Data Warehouse
DevOps
Documentation
Flat File
Git
Management
Microsoft SSIS
Microsoft SSRS
Multitasking
Problem Solving
Scripting
Software Development
Stored Procedures
Teamwork
Transact-SQL
XML

Job Details

Job Title: Senior Data Engineer

Location: 100% Remote

Contract: 12+Months

Job Description:

Core Competencies:

Teamwork: Builds strong relationships and collaborates effectively to achieve shared goals;

promotes mutual trust and supports team members.

Accountability: Takes ownership for commitments and outcomes; monitors progress, learns

from setbacks, and continuously seeks improvement.

Results-Driven: Delivers consistent results by executing priorities with urgency and focus;

maintains momentum to achieve high-performance goals.

Sound Judgment: Applies critical thinking and experience to evaluate issues, identify root

causes, and make well-informed decisions.

Customer Focus: Maintains a strong internal and external customer focus; proactively identifies

and addresses needs to improve user experience and service quality.

QUALIFICATIONS:

7+ years of hands-on experience with Microsoft SQL Server; experience with Microsoft Fabric

and Python is a plus.

7+ years of experience with Azure SQL Server, Azure Data Warehouse, and Azure Data Factory;

Azure Synapse experience is a plus.

Proficient in ETL design patterns for data warehousing, including implementation of Kimball

methodology.

Demonstrated experience integrating data from multiple sources (e.g., SQL Server, Excel, Access,

flat files, on-prem/cloud systems, RESTful APIs, Smartsheet) using SSIS or other ETL tools.

Skilled in developing complex T-SQL queries, stored procedures, triggers, and handling error

resolution.

Strong analytical, problem-solving, and critical thinking skills with the ability to troubleshoot

complex issues and determine scalable solutions.

High attention to detail with a strong focus on data validation and thorough documentation of

processes, standards, and procedures.

Excellent written and verbal communication skills, with the ability to translate technical

concepts into clear, actionable insights for both technical and non-technical stakeholders.

Effective interpersonal skills; able to build positive relationships across teams and collaborate in

cross-functional environments.

Ability to multi-task and manage competing priorities in a fast-paced, dynamic setting.

Demonstrated stress management capabilities; able to remain focused and perform well under

pressure.

Experience with full software development lifecycle (SDLC) using tools such as Azure DevOps,

GIT, and Smartsheet.

Bachelor s degree in Management Information Systems, Engineering, Mathematics, Economics,

Computer Science, or a related field.

Technical Proficiencies / Tools & Technologies

Candidates should have practical experience with the following tools and platforms:

Microsoft SQL Server 2012+ database administration and development

T-SQL advanced querying, scripting, and performance tuning

MS BI Stack: SSRS (Reporting), SSIS (Integration), SSAS (Analytics)

Microsoft Azure SQL Server, Data Warehouse, Data Factory

JSON/XML for handling semi-structured data

Azure DevOps / GIT for source control and deployment pipelines

Smartsheet for data integration and workflow tracking Corporate

Azure Synapse

Microsoft Fabric Platform

Python for scripting or automation

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