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Overnight Sql Data Engineer Jobs (NOW HIRING)

Data Engineer 3

Birmingham, AL · On-site

$107K - $128K/yr

Data Engineer 5-10 years focused on manipulating data in a software engineering capacity. Some of ... This IT role requires a significant set of technical skills, including a deep knowledge of SQL ...

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Advanced skills in SQL, data modeling, and working with database platforms such as Azure SQL ... Proficiency in programming languages like Python, C#, or Java for data manipulation and automation ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Provide subject matter expertise and hands on delivery of data capture, curation and ... Experienced in enterprise ETL tools like SSIS, Informatica or likewise. DevOps on an Azure platform.

Data Engineer

New Orleans, LA · On-site

$110K - $132K/yr

Advanced skills in SQL, data modeling, and working with database platforms such as Azure SQL ... Proficiency in programming languages like Python, C#, or Java for data manipulation and automation ...

Data Engineer Intern We are seeking a motivated and detail-oriented Data Engineer Intern to support ... Ability to write and understand SQL queries for data extraction, transformation, validation, and ...

Data Engineer

Fort Worth, TX · Hybrid

$45 - $50/hr

Data Engineer (Contract - Hybrid) Location: Irving, TX (Hybrid - 3 days onsite) Pay: $45-$50/hour ... SQL Data Platforms Experience with several of the following: * Teradata * Cassandra * MongoDB

Senior Data / RAG Engineer

Boston, MA · Hybrid

$115K - $156K/yr

Senior Data / RAG Engineer Location: Chennai / Hybrid Employment Type: Full-time Role Overview: W ... Ensure data synchronization and consistency between RDS (MS SQL Server) and Vector DB for real-time ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI. * 5-7 years data analytics experience using SQL * 5-7 years of cloud development and ...

SQL Development: Create complex SQL queries, SSIS packages, stored procedures, and indexes. * Data Quality: Establish standards for data accuracy, completeness, and governance. * Analytics:

Data Engineer

Fort Worth, TX · On-site

$45 - $50/hr

Data Engineer (Contract - Hybrid) Location: Irving, TX (Hybrid - 3 days onsite) Pay: $45-$50/hour ... SQL Data Platforms Experience with several of the following: * Teradata * Cassandra * MongoDB

Power BI Data Engineer

Arlington, VA · On-site

$130K - $157K/yr

Power BI Data Engineer Reports To: Data Analytics Director Location: Hybrid About Us Paradigm Max Q ... Develop and manage data integration workflows using tools such as Azure Data Factory, SSIS, or ...

AWS Data Engineer (12+ yrs) - Full Time

Plano, TX · On-site

$109K - $131K/yr

Role: AWS Data Engineer Location: Plano, TX (Onsite from Day 1) Job Type: Full Time Experience ... Data science, MuleSoft, Kafka connect, SQL, Data visualization The opportunity: * Design, develop ...

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... SQL Data Analyst - ONLY LOCALS Duration - 6 months + Location - Seattle, WA - Local candidates only ...

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Overnight Sql Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do overnight sql data engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for overnight sql data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Sql Data Engineer vs Data Analyst?

AspectOvernight Sql Data EngineerData Analyst
Primary RoleDesigns, develops, and maintains data pipelines and databases, often working overnight to update systems.Analyzes data to generate reports, insights, and support decision-making during regular business hours.
Skills & CertificationsSQL, ETL tools, data warehousing, scripting, often certifications like Microsoft Certified: Data Engineer Associate.SQL, data visualization, statistical analysis, certifications like Microsoft Certified: Data Analyst Associate.
Work EnvironmentTypically in data centers or remote, working overnight shifts to update or maintain data systems.Office or remote, working during standard business hours to interpret data and create reports.

The Overnight SQL Data Engineer focuses on building and maintaining data infrastructure, often during off-hours, while the Data Analyst interprets data to inform business decisions during regular hours. Both roles require SQL expertise and related certifications but serve different functions within data management and analysis.

What cities are hiring for Overnight Sql Data Engineer jobs? Cities with the most Overnight Sql Data Engineer job openings:
What are the most commonly searched types of Sql Data Engineer jobs? The most popular types of Sql Data Engineer jobs are:
What states have the most Overnight Sql Data Engineer jobs? States with the most job openings for Overnight Sql Data Engineer jobs include:
Salesforce/SQL Data Reconciliation Specialist

Salesforce/SQL Data Reconciliation Specialist

Apex Informatics

Remote

Contractor

Posted 12 days ago


Job description

Job Title: Salesforce/SQL Data Reconciliation Specialist
Location: Fully Remote, US-based anywhere
Contract Type: 1 year+
Description:
We are seeking an experienced Salesforce Data Reconciliation Specialist to join our team. The position is 100% fully remote and can be located anywhere in the Unites States. In this role, you will be responsible for managing, optimizing and executing the movement of large data volumes within Salesforce and SQL Server. You will collaborate with cross-functional teams to ensure seamless data migration, integration, and synchronization using various tools and platforms. This is very much a hands-on position.
Responsibilities/Qualifications/Skills:
Salesforce/SQL Data Reconciliation Specialist
Essential: Bulk Data Movement: Proficiency in using tools like Salesforce Bulk API, Data Loader, and SSIS (SQL Server Integration Services) to efficiently transfer large volumes of data.
Nice to have: Integration Tools: Familiarity with integration platforms such as MuleSoft, Informatica, or Talend for seamless data migration and synchronization.
Nice to have: Performance Optimization: Ability to optimize data transfer processes to ensure minimal downtime and maximum efficiency.
Custom Objects - Experienced in Import/Export of Custom Objects and Related Data Requirements
Custom Objects: Expertise in creating, managing, and migrating custom objects within Salesforce.
Data Requirements: Understanding of data schema, relationships, and dependencies to ensure accurate data import/export.
Tools: Proficiency in using Salesforce tools like Data Import Wizard and Data Loader for handling custom objects.
SOQL - Experience in Writing Custom Queries in SOQL, Navigating Object Relationships
Essential: SOQL (Salesforce Object Query Language): Strong ability to write complex queries to retrieve and manipulate data within Salesforce.
Nice to have: Object Relationships: Deep understanding of Salesforce object relationships (e.g., master-detail, lookup) to effectively navigate and query data.
Nice to have: Query Optimization: Skills in optimizing SOQL queries for performance and efficiency.
SSIS - very strong experience required
Essential: SSIS (SQL Server Integration Services): Extensive experience in designing, developing, and deploying SSIS packages for data integration and ETL (Extract, Transform, Load) processes.
Essential: Data Transformation: Ability to transform data between different formats and systems using SSIS.
Essential: Error Handling: Proficiency in implementing robust error handling and logging mechanisms within SSIS packages.
Additional considerations (nice to have)
Certifications: Salesforce certifications such as Salesforce Certified Data Architecture and Management Designer or Salesforce Certified Platform Developer I can be advantageous.
Soft Skills: Strong analytical skills, attention to detail, and the ability to work collaboratively in a team environment.
Project Experience: Practical experience with real-world projects involving data migration, integration, and management within Salesforce.