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Weekday Sql Data Engineer Jobs (NOW HIRING)

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... Develop efficient, well-structured SQL queries and data transformation logic to support analytics ...

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... Develop efficient, well-structured SQL queries and data transformation logic to support analytics ...

Data Engineer

Austin, TX · On-site

$55 - $70/hr

We are seeking a skilled Data Engineer to support a critical enterprise data migration initiative ... Strong expertise in SQL with experience working on large-scale and complex datasets. * Hands-on ...

Pay: $90,000.00 - $110,000.00 per year Data Engineer (2-3 Years Experience) Location: North ... Ingest data from Azure SQL databases , third-party APIs, and structured file sources (CSV/Excel)

AWS Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... in SQL, data modeling, and dimensional modeling techniques. • Experience working with Apache ... Engineer or AWS Certified Solutions Architect. • Familiarity with Python, Spark, or other big ...

Data Engineer

North Richland Hills, TX · On-site

$90K - $110K/yr

Pay: $90,000.00 - $110,000.00 per year Data Engineer (2-3 Years Experience) Location: North ... Ingest data from Azure SQL databases , third-party APIs, and structured file sources (CSV/Excel)

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

Senior Data Engineer

Plano, TX · Hybrid

$101K - $137K/yr

Scala, Python/PySpark) plus SQL expertise * 4+ years experience with schema design, dimensional ... three weekdays per week. #LI-hybrid The actual pay rate offered within the range will depend on ...

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

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 ...

Lead Data engineer

Chandler, AZ · On-site

$116K - $140K/yr

Lead Data Engineer Location: Chandler.,AZ Work Schedule: Hybrid Duration: 6 months Top Skills: * Ab ... Understand and write the complex SQL queries and have in-depth understanding of oracle database

Senior Data Engineer

Beverly Hills, CA

$122K - $166K/yr

It brings deep SQL and SQL Server expertise, works within the enterprise data architecture ... Uses AI tooling fluently in data engineering, and builds the trusted data foundation the AI ...

New

Data Engineer

Montvale, NJ

$119K - $143K/yr

The role requires deep strength in PySpark, T-SQL, data engineering, and analytics platform troubleshooting across Databricks, SQL Server / DWH, Azure data services. Qualifications: * 8+ years of ...

Sr GCP Data Engineer

Manhattan, NY · On-site

$117K - $158K/yr

Manage and optimize data storage using BigQuery, Cloud Storage, and Cloud SQL to ensure performance ... data engineering. * 8+ years of hands-on experience designing, building, and maintaining data ...

Ability to write and understand SQL queries for data extraction, transformation, validation, and ... Work with analysts, developers, and business stakeholders to understand data requirements and ...

Data Engineer Only W2

Malvern, PA · On-site

$112K - $134K/yr

Required Skills Programming & ETL Python AWS Glue ETL Development PySpark SQL Data Transformation Data Cleansing Data Validation Cloud Technologies AWS Glue Amazon S3 AWS Lambda Amazon Redshift AWS ...

Ability to write and understand SQL queries for data extraction, transformation, validation, and ... Work with analysts, developers, and business stakeholders to understand data requirements and ...

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Weekday Sql Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jul 17, 2026, the average yearly pay for weekday 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 cities are hiring for Weekday Sql Data Engineer jobs? Cities with the most Weekday 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 Weekday Sql Data Engineer jobs? States with the most job openings for Weekday Sql Data Engineer jobs include:
Data Engineer

$116K - $140K/yr

Full-time

Posted 8 days ago


Job description

PRIMARY FUNCTION:
The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the design of ELT pipelines that enable efficient data integration and analytics.
The Data Engineer collaborates with data analysts, data scientists, product managers, and business stakeholders to gather requirements and deliver scalable data solutions. This role is responsible for designing, developing, and maintaining data pipelines, supporting data modeling and transformation efforts, and ensuring the reliability, quality, and performance of data assets. The Data Engineer is expected to communicate technical concepts effectively and contribute to data engineering best practices across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
  1. Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
  1. Develop and maintain data models, schemas, and data structures to support analytical and operational reporting needs.
  1. Create and maintain logical and physical data models following established data modeling standards and best practices.
  1. Collaborate with cross-functional teams to understand business requirements and deliver high-quality data solutions.
  1. Participate in technical discussions, solution design, and implementation activities across data engineering projects.
  1. Implement and maintain data quality checks, validation rules, and monitoring processes to ensure data accuracy, consistency, completeness, and reliability.
  1. Develop efficient, well-structured SQL queries and data transformation logic to support analytics, reporting, and operational processes.
  1. Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
  1. Ensure compliance with data security, governance, and regulatory requirements across cloud and on-premise data platforms.
  1. Communicate technical concepts, project status, and data-related issues effectively to team members and business stakeholders.

QUALIFICATIONS
EDUCATION: Bachelor's degree in related field required. Master's degree preferred.
EXPERIENCE:
  • 3-5 years of experience in data engineering or a related field required.
  • Strong proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
  • Experience developing and maintaining ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
  • Good understanding of data modeling concepts, including dimensional modeling, star schema design, and normalization required.
  • Hands-on experience with modern data warehousing platforms, preferably Databricks, Snowflake, or Azure Synapse required.
  • Strong programming skills in Python or another modern scripting language required.
  • Experience troubleshooting and optimizing data pipelines for performance, reliability, and scalability preferred.
  • Familiarity with data quality, data governance, and security best practices preferred.

KNOWLEDGE, SKILLS AND ABILITIES
  • Ability to understand business requirements and translate them into effective data solutions.
  • Strong analytical and problem-solving skills with attention to detail.
  • Effective verbal and written communication skills.
  • Ability to collaborate with cross-functional teams and stakeholders.
  • Proficiency in SQL, data analysis, and data transformation techniques.
  • Experience working with cloud-based data platforms and modern data engineering tools.
  • Knowledge of data modeling concepts, data warehousing principles, and ETL/ELT best practices.
  • Familiarity with data quality, data governance, and data security practices.
  • Proficient in building Power BI data models and developing dashboards and reports.
  • Ability to manage multiple priorities and work effectively in a fast-paced environment.

TYPICAL WORKING CONDITIONS
  • Full time remote/telework

OTHER PHYSICAL REQUIREMENTS
  • Vision
  • Sense of sound
  • Sense of touch

PERFORMANCE REQUIREMENTS
Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI (Protected Health Information) in accordance with organizational policy, Federal, State, and local regulations.