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Remote Sql Data Engineer Jobs in Washington (NOW HIRING)

Data Engineer

Washington, DC · On-site +1

$74K - $156K/yr

Proficiency with computer programming languages like Python, Java, Scala, or equivalent Object-Oriented Programming Language and knowledge of SQL * Knowledge of data ingestion, transformation ...

Data Engineer - Databricks

Mclean, VA · On-site +1

$125K - $160K/yr

Relational SQL (Preferably T-SQL. Alternatively pgSQL, MySQL). * Data pipeline and workflow ... Experience supporting project teams of developers and data scientists who build web-based ...

Data Engineer

Crystal City, VA · On-site +1

$130K - $157K/yr

INTEGRITYOne Partners - Data Engineer Location: Crystal City, VA Hybrid, periodic onsite presence ... Strong SQL & Data Concepts Knowledge Desired Technical Skills * AWS (S3, RDS, EC2, Lamba, Step ...

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $180K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Strong SQL skills and extensive experience working with modern cloud data platforms, preferably ...

Senior Data Engineer

Herndon, VA · Remote

$150K - $180K/yr

This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S ... Strong SQL skills and extensive experience working with modern cloud data platforms, preferably ...

ETL Data Engineer

Mclean, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0241379 Location: McLean,VA,US Share job via: Share ETL Data Engineer ... You Have: * 5+ years of experience with relational databases and SQL * Experience with scripting ...

Data Engineer

Arlington, VA · Remote

$117K - $140K/yr

INTEGRITYOne Partners - Data Engineer Location: Crystal City, VA Hybrid, periodic onsite presence ... Strong SQL & Data Concepts Knowledge Desired Technical Skills * AWS (S3, RDS, EC2, Lamba, Step ...

Data Engineer II

Washington, DC · On-site +1

$95K - $125K/yr

Advanced proficiency with SQL and Python; ability to write production-quality, well-tested ... Remote friendly (within the U.S.) * And more! The salary range for candidates who meet the minimum ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ... Solid SQL is a given; Python for pipeline development or data quality tooling is a plus. Hands-on ...

Data Engineer (Cycle)

Washington, DC · Remote

$85K - $100K/yr

SQL and dbt development: Write and maintain SQL and dbt models that transform data in our warehouse ... Location This is a remote position, with a sight preference for someone based in DC. Some travel ...

Data Engineer I

Washington, DC · On-site +1

$85K/yr

Proficiency in SQL; able to write clean, performant queries. * Practical experience with dbt ... Remote friendly (within the U.S.) * And more! The salary range for candidates who meet the minimum ...

Data Engineer

Columbia, MD · Remote

$100K - $120K/yr

Data Engineer Key Required Skills: Technical experience in information architecture, data ... with SQL and other databases (i.e., DB2 and Oracle) · Strong working experience with BI ...

Showing results 41-60

Remote Sql Data Engineer information

How does a Remote SQL Data Engineer typically collaborate with cross-functional teams to ensure data integrity and project success?

As a Remote SQL Data Engineer, you will frequently work with data analysts, software developers, and business stakeholders to understand data requirements, design robust database solutions, and troubleshoot data issues. Collaboration often occurs through virtual meetings, project management tools, and shared documentation platforms. Clear communication and proactive updates are essential, as you'll need to ensure that data pipelines are reliable and align with the needs of both technical and non-technical team members. Regular code reviews and knowledge-sharing sessions help maintain data integrity and foster a cohesive remote team environment.

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

AspectRemote Sql Data EngineerRemote Data Analyst
Required SkillsSQL, ETL, data modeling, database managementSQL, data visualization, reporting, statistical analysis
CertificationsSQL certifications, data engineering coursesData analysis certifications, Tableau, Excel
Work EnvironmentData pipelines, database systems, cloud platformsData interpretation, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, consulting

Remote Sql Data Engineers focus on building and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require SQL skills and often overlap in data handling, but differ in their core responsibilities and tools used.

What are the key skills and qualifications needed to thrive as a Remote SQL Data Engineer, and why are they important?

To thrive as a Remote SQL Data Engineer, you need strong proficiency in SQL, data modeling, and ETL processes, often supported by a degree in computer science or a related field. Experience with database management systems like Microsoft SQL Server, PostgreSQL, or MySQL, as well as tools such as SSIS or cloud platforms like AWS and Azure, is typically required. Excellent problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating remotely and conveying technical information. These abilities are important to ensure accurate data management, seamless data integration, and reliable performance in a distributed work environment.

What does a Remote SQL Data Engineer do?

A Remote SQL Data Engineer designs, develops, and maintains databases and data pipelines using SQL technologies, all while working from a remote location. They are responsible for ensuring data is collected, stored, and retrieved efficiently and securely. Their work often involves writing complex SQL queries, optimizing database performance, and collaborating with other teams to support data-driven decision-making. They may also manage ETL (Extract, Transform, Load) processes and help integrate data from multiple sources to support analytics and business intelligence.
What are the most commonly searched types of Sql Data Engineer jobs in Washington? The most popular types of Sql Data Engineer jobs in Washington are:
What cities in Washington are hiring for Remote Sql Data Engineer jobs? Cities in Washington with the most Remote Sql Data Engineer job openings:

Data Engineer - Hadoop to Databricks Migration

Interon IT Solutions

Chantilly, VA • Remote

Full-time

Posted 25 days ago


Job description

Senior Data Engineer – Hadoop to Databricks Migration

Location: Remote
Employment Type: W2

Job Description

We are looking for an experienced Senior Data Engineer with strong hands-on experience in Hadoop to Databricks migration.

The candidate will be responsible for migrating legacy Hadoop, HDFS, Hive, and Spark workloads to Databricks and modernizing existing data pipelines using PySpark and Delta Lake.

Key Responsibilities

  • Migrate Hadoop and HDFS workloads to Databricks.
  • Analyze existing Hadoop, Hive, and Spark environments.
  • Migrate large-scale datasets and Hive tables to Databricks.
  • Convert legacy Hive, MapReduce, and Spark jobs to PySpark.
  • Build and maintain ETL/ELT pipelines using Databricks.
  • Develop data solutions using Python, PySpark, Spark SQL, and SQL.
  • Implement Delta Lake and Databricks Lakehouse solutions.
  • Perform source-to-target data mapping and transformation.
  • Validate migrated data for accuracy and completeness.
  • Troubleshoot data migration and pipeline issues.
  • Optimize Spark and PySpark jobs for performance.
  • Support migration testing, production deployment, and post-migration validation.
  • Work with architects and engineering teams during the migration process.
  • Document migration processes and technical solutions.

Required Skills

  • 8+ years of Data Engineering or Big Data experience.
  • Strong Hadoop to Databricks migration experience.
  • Strong experience with Hadoop, HDFS, Hive, and Spark.
  • Hands-on experience with Databricks.
  • Strong Python, PySpark, Spark SQL, and SQL skills.
  • Experience converting legacy Hadoop workloads to Databricks.
  • Strong ETL/ELT pipeline development experience.
  • Experience with Delta Lake and Databricks Lakehouse.
  • Experience with data validation and reconciliation.
  • Strong Spark performance tuning experience.
  • Experience with Git and CI/CD.
  • Strong troubleshooting and communication skills.

Preferred Skills

  • Cloudera or Hortonworks to Databricks migration experience.
  • Unity Catalog.
  • Databricks Workflows and Jobs.
  • Auto Loader and Delta Live Tables.
  • AWS, Azure, or GCP experience.
  • Hadoop modernization and decommissioning experience.