etl developer

Saalex

<div>Spalding, a Saalex Company is seeking a Data Engineer/ETL Developer in Lexington Park, MD. Spalding, a Saalex Company is a professional services company delivering cutting-edge solutions to the Department of War. Our expert-level solutions include software development, information technology, program management, financial management and business intelligence services.
Position Type: Full-time
Salary: $90k-$125k annually (depending upon experience)
Work Location: Hybrid remote/in-office (see onsite requirements below).
**Onsite Requirements: Position may require on-site work at PAX approximately 1 day per week for meetings, collaboration, and technical tasking.
Essential Functions:<ul><li>
Design, develop, and optimize data pipelines, ETL mappings, and data architectures within the Department of the Navy (DON) Jupiter enterprise data environment and the AWS Gov Cloud ecosystem.
</li><li>Build and maintain scalable extraction, transformation in Informatica; and loading workflows using modern cloud-native data processing in Databricks.
</li><li>Author, refine, and optimize advanced SQL and python scripts to support schema creation, data population, truncation, migration, and complex manipulation of tables, views, and materialized views.
</li><li>Architect and deploy custom Application Programming Interfaces (APIs) to securely connect disparate data sources and streamline data ingestion pipelines.
</li><li>Proactively identify, diagnose, and resolve technical issues, errors, and performance bottlenecks within the cloud data warehouse and associated ETL frameworks.
</li><li>Perform comprehensive data collection, pattern analysis, validation testing, and quality troubleshooting across large, complex datasets.
</li><li>Other duties as assigned.</li></ul> 
 
 
Requirements 
Required:
<ul><li>Proven experience applying modern data engineering methodologies, pipeline design patterns, and enterprise data architecture practices (with an emphasis on cloud-based frameworks).
</li><li>Strong technical proficiency in Informatica and Databricks for orchestrating complex, enterprise-level ETL/ELT pipelines.
</li><li>Hands-on experience working with cloud-native storage, compute, and analytics services within AWS, alongside a proven track record of executing database migrations from legacy on-premises environments to AWS.</li><li>
Mastery of SQL is required.</li><li>
Strong proficiency in data analysis techniques and tooling, including MS Excel for rapid data manipulation and validation is required.</li><li>
Strong working knowledge of RESTful API development, JSON data structures, and secure data exchange protocols is required.</li></ul>
Desired:
<ul><li>Proficiency in Python (for Databricks), JavaScript, and legacy Visual Basic (VB) is highly preferred to support legacy systems and custom automation.</li><li>
Familiarity with TOAD for Oracle is preferred.</li><li>
Direct experience supporting NAVAIR IT applications, programs, or projects within Navy-approved networks is highly desired.</li><li>
Possession of an active CompTIA Security+ certification is preferred to satisfy DoD 8570/8140 compliance requirements for elevated privilege roles. May be required to obtain within 90 days upon onboarding.</li></ul>
Education:<ul><li>
BS/BA degree and 3 years related experience OR AA/AS degree and 7 years related experience OR HS and 9 years related experience.</li></ul>
Security Clearance:
Must be eligible to obtain a Secret clearance. Active Secret clearance desired, interim Secret acceptable to start. Requirements to obtain a clearance include US Citizenship, security investigation, etc. 
<ul><li>
</li></ul> 
 
Benefits 
<ul>
<li>Health Care Plan (Medical, Dental &amp; Vision)</li>
<li>Retirement Plan (401k, IRA)</li>
<li>Life Insurance (Basic, Voluntary &amp; AD&amp;D)</li>
<li>Paid Time Off (Vacation, Sick &amp; Public Holidays)</li>
<li>Short Term &amp; Long Term Disability</li>
<li>Training &amp; Development</li>
<li>Wellness Resources</li>
<li>Stock Option Benefit</li></ul></div>

Data Engineer/ETL Developer

VigorCare Pediatric Services

<div>We are seeking a talented SQL Developer to join our growing team. The SQL Developer will be responsible for designing, developing, and maintaining our SQL databases and data warehouses. This role will play a critical role in ensuring the accuracy, reliability, and efficiency of our data systems, which are essential to our operations and decision-making processes.
Key Responsibilities:<ul><li>Design, develop, and maintain SQL databases and data warehouses</li><li>Create and optimize SQL queries to extract data from various sources</li><li>Develop and maintain ETL processes to ensure accurate and timely data flow</li><li>Troubleshoot and resolve database performance issues</li><li>Collaborate with cross-functional teams to understand data requirements and develop solutions</li><li>Monitor and maintain data integrity and security</li><li>Develop and maintain documentation for database and ETL processes</li><li>Stay up-to-date with industry trends and best practices in database development and management</li></ul>
Qualifications:<ul><li>Bachelor's degree in Computer Science, Information Systems or related field</li><li>Strong understanding of SQL and database design principles</li><li>Experience with ETL processes and tools</li><li>Proficiency in data modeling and database performance tuning</li><li>Familiarity with healthcare data and regulations (HIPAA, HITECH) is a plus</li><li>Excellent problem-solving and analytical skills</li><li>Strong attention to detail and ability to work in a fast-paced environment</li><li>Excellent communication and teamwork skills</li></ul></div>

SQL Developer

Azya Consulting FZ LLE

About the RoleWe are seeking a skilled Professionals for Salesforce Developer Lead role with hands-on expertise in Sales Cloud, Experience Cloud, and system integrations. The ideal candidate will design and develop secure, scalable Salesforce solutions while integrating Salesforce with backend systems and exposing APIs for internal and partner use. This role requires a balance of technical depth, data integration experience, and the ability to collaborate with cross-functional business teams to deliver end-to-end CRM solutions.Key Responsibilities Salesforce Development &amp; Customization:<ul><li>Design, develop, and maintain applications using Apex Classes, Triggers, Lightning Web Components (LWC), Aura Components, and Visualforce.</li><li>Configure and customize Sales Cloud entities (Leads, Opportunities, Accounts, Contacts, Campaigns, etc.) to support business workflows.</li><li>Build and enhance Experience Cloud portals (Partner and Customer Communities) including page layouts, permissions, and responsive components.</li><li>Implement automation using Flow Builder (Record-Triggered, Screen, and Scheduled Flows), replacing legacy Process Builder and Workflow Rules.</li><li>Develop custom metadata types, custom settings, and dynamic forms for scalable configurations.</li></ul>Integration &amp; API Management:<ul><li>Design and implement integrations between Salesforce and backend systems (ERP, data warehouses, third-party services, etc.) using REST/SOAP APIs, Apex callouts, Named Credentials, and Platform Events.</li><li>Develop Apex REST APIs to expose Salesforce data and services securely to external systems.</li><li>Configure and manage OAuth 2.0 / Connected Apps for authentication and integration with external applications.</li><li>Work closely with backend teams to align data models, manage payloads, and optimize data exchange for real-time and batch processes.</li><li>Ensure compliance with Salesforce API Governor Limits and security best practices (FLS, CRUD, sharing).</li></ul>Configuration &amp; DevOps:<ul><li>Manage deployments using Change Sets, SFDX, or DevOps Center; maintain version control through Git.</li><li>Support data migration and cleansing using Data Loader, Workbench, or API-based ETL tools.</li><li>Collaborate with admins to configure profiles, roles, permission sets, validation rules, and record types.</li><li>Contribute to CI/CD automation, sandbox refresh coordination, and UAT processes.</li></ul>Experience Cloud Development:<ul><li>Build and maintain branded Experience Cloud sites with customized Lightning Components and record visibility rules.</li><li>Configure user registration, login flows, authentication (SSO), and guest user permissions.</li><li>Develop dashboards and reports optimized for portal visibility and performance.</li></ul>Required Skills &amp; Experience:<ul><li>3&ndash;6 years of hands-on experience.</li><li>Strong proficiency in Apex, LWC, Aura, SOQL/SOSL, and Flow Builder.</li><li>Deep understanding of Sales Cloud data model and business processes.</li><li>Proven experience building and managing Experience Cloud (Communities).</li><li>Strong experience with API integrations &mdash; consuming and exposing REST/SOAP services, Named Credentials, and OAuth flows.</li><li>Understanding of asynchronous Apex (Queueables, Future methods, Batch jobs, Platform Events).</li><li>Familiarity with CI/CD, Salesforce DX, Git, and deployment automation tools.</li><li>Hands-on experience with at least one integration middleware</li><li>Excellent debugging, documentation, and communication skills.</li></ul>Preferred Qualifications:<ul><li>Salesforce Platform Developer I (required); Platform Developer II or Experience Cloud Consultant preferred.</li><li>Experience integrating Salesforce with ERP, HR, or custom backend systems (via API or middleware).</li><li>Familiarity with Marketing Cloud Connect or other Salesforce ecosystem integrations.</li></ul>Job Type: Full-timePay: AED12,000.00 - AED16,000.00 per monthWork Location: In person

Lead - Salesforce Developer

ITCON Services

<div>ITCON Services is seeking a Data Engineer to design, develop, maintain, and optimize automated data pipelines, ETL/ELT processes, data warehouses, and data marts supporting USDA FPAC mission reporting and analytics.
<h1 class="jobSectionHeader">At ITCON, we offer competitive compensation, paid training and development opportunities, healthcare benefits that start on your first day, commuter benefits, work-life balance, and the opportunity to work alongside an amazing and growing team.
</h1><h1 class="jobSectionHeader">Applicant must be a permanent resident or citizen of the United States and clearable for Public Trust clearance with the U.S Government.
</h1><h2 class="jobSectionHeader">Key Responsibilities
</h2><ul><li>Develop and maintain data ingestion, transformation, and loading workflows.
</li><li>Build and optimize ETL/ELT processes, data pipelines, and integration services.
</li><li>Implement source-to-target mappings and business transformation logic.
</li><li>Support data warehouse and data mart development activities.
</li><li>Troubleshoot production data pipeline failures and data quality issues.
</li><li>Develop automated testing and validation checks for data movement processes.
</li><li>Support deployment, change management, and operational maintenance activities.
</li><li>Document pipeline designs, operational procedures, and technical artifacts.
</li></ul><h2 class="jobSectionHeader">Required Skills and Qualifications
</h2><ul><li>Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
</li><li>3+ years of experience in data engineering or ETL development.
</li><li>Hands-on SQL and data integration experience.
</li><li>Experience with cloud or enterprise data platforms and scripting languages such as Python.
</li><li>Public Trust eligibility.</li>
</ul><h2 class="jobSectionHeader">Desired Skills and Qualifications
</h2><ul><li>Experience with Databricks, DataStage, SSIS, AWS, Azure, Cloudera, Tableau, or Oracle Analytics.
</li><li>Knowledge of CI/CD, DevSecOps, and automated testing practices.
</li><li>USDA or federal civilian agency experience.</li></ul></div>

Data Engineer

EXL Service

<div>Job Description: EXL Service is seeking an accomplished Senior Databricks Data Engineer with 10&ndash;12 years of experience designing, developing, and optimizing enterprise data platforms and large-scale ETL solutions. The ideal candidate brings deep expertise in Databricks, Spark, Delta Lake, Azure Data Platform, and modern data engineering practices.
This role is responsible for building scalable data pipelines, implementing cloud-native data solutions, improving platform performance, and delivering reliable data products for analytics, reporting, and AI/ML initiatives.
Base Compensation Range: 65,000 &ndash; 87,000
The posted range is the hiring range for this role &mdash; a subset of the broader range available to employees over time &mdash; and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits</div>
 <div>Responsibilities: Key Responsibilities
Data Engineering &amp; Platform Development
<ul><li>Design, develop, and optimize enterprise-scale data pipelines using Databricks, Spark, Delta Lake, and Azure Data Lake Storage.
</li><li>Build batch and incremental ETL/ELT pipelines, real-time streaming architectures, and reusable data integration frameworks.
</li><li>Develop scalable ingestion frameworks supporting structured, semi-structured, and API-based data sources.
</li><li>Build reusable data engineering frameworks for ingestion, transformation, validation, reconciliation, and publishing.
</li><li>Develop Delta Lake solutions using partitioning, optimization, Z-Ordering, Liquid Clustering, and performance tuning techniques.
</li><li>Implement CDC, incremental processing, merge strategies, and data synchronization across enterprise platforms.
</li><li>Develop Databricks Workflows, notebooks, SQL Jobs, and automation for production workloads.
</li><li>Integrate external REST APIs and process JSON/XML data into analytics-ready datasets.
</li><li>Implement robust data quality checks, audit frameworks, monitoring, and error handling.
</li>Optimize Spark jobs for performance, scalability, and cost efficiency. 
<li>
</li></ul>Databricks &amp; Azure Development
<ul><li>Develop solutions using Azure Data Lake Storage Gen2, Databricks, Unity Catalog, Azure Key Vault, Azure DevOps, and Azure Synapse.
</li><li>Build secure data pipelines using Unity Catalog, RBAC, service principals, and managed identities.
</li><li>Develop reusable notebook frameworks using PySpark and Spark SQL.
</li><li>Implement CI/CD deployment pipelines using Azure DevOps.
</li><li>Manage environment promotion across Development, QA, UAT, and Production.
</li>Troubleshoot production issues and optimize workloads for reliability and scalability. 
<li>
</li></ul>Data Integration &amp; Analytics
<ul><li>Design enterprise data models supporting reporting, analytics, and downstream applications.
</li><li>Develop healthcare and financial data integration pipelines supporting multiple source systems.
</li><li>Build reusable metadata-driven ETL frameworks.
</li><li>Integrate third-party APIs including NLP, terminology normalization, and identity resolution services.
</li><li>Support data governance, lineage, and metadata management initiatives.</li></ul></div>
 <div>Qualifications: Required Skills &amp; Experience
Technical Expertise
<ul><li>10-12 years of experience in Data Engineering, ETL Development, and Data Warehousing.
</li><li>Hands-on Databricks development experience.
</li><li>Strong experience with Spark, Delta Lake, Unity Catalog, Databricks Workflows, and SQL Warehouses.
</li><li>Strong experience with PySpark, Spark SQL, SQL, and Python.
</li><li>Experience building enterprise ETL/ELT pipelines using Databricks and Azure Data Platform.
</li><li>Experience with Azure Data Lake Storage (ADLS Gen2), Azure Synapse, Azure Key Vault, and Azure DevOps.
</li><li>Experience implementing CDC, SCD, incremental loading, and data quality frameworks.
</li><li>Experience integrating REST APIs and processing JSON/XML datasets.
</li><li>Experience with Git, CI/CD, release management, and deployment automation.
</li><li>Strong knowledge of performance tuning, partitioning, caching, broadcast joins, and Spark optimization.
</li><li>Experience working with healthcare data platforms is preferred.
</li><li>Microsoft Azure certifications (e.g., DP-203 Azure Data Engineer Associate) or Databricks certifications (Data Engineer Associate/Professional).
</li><li>Experience with Ab Initio suite of products is also preferred.</li></ul></div>

Databricks Data Engineer

THUNDERYARD SOLUTIONS

Job Summary:ThunderYard Solutions is seeking a Data Engineer to support the U.S. Department of Veterans Affairs in designing, developing, and maintaining scalable data solutions that support mission-critical healthcare and business operations. The ideal candidate will have expertise in data architecture, ETL/ELT processes, cloud-based data platforms, and analytics technologies, with a strong commitment to delivering secure, high-quality data solutions in a federal environment.This role will collaborate with cross-functional teams, including data analysts, software developers, and government stakeholders, to optimize data pipelines, improve data accessibility, and ensure compliance with federal security and privacy standards. The successful candidate will demonstrate strong problem-solving skills, technical leadership, and the ability to work effectively in an agile environment supporting veteran-focused initiatives.Required Qualifications:<ul><li>3+ years of experience as a Data Engineer or in a similar data focused role</li></ul><ul><li>Hands on experience with Databricks</li></ul><ul><li>Strong experience building ETL/ELT pipelines</li></ul><ul><li>Proficiency in Python and SQL</li></ul><ul><li>Experience with Apache Spark / PySpark</li></ul><ul><li>Experience with Azure, Azure Synapse Analytics, and Azure Data Factory</li></ul><ul><li>Solid understanding of data modeling, data warehousing, and analytics use cases</li></ul><ul><li>Design, develop, and maintain ETL/ELT pipelines to ingest, transform, and load data from multiple sources such as APIs, relational databases, cloud storage, and streaming platforms</li></ul><ul><li>Build scalable batch and near real time data pipelines using Databricks and Apache Spark (PySpark / SQL)</li></ul><ul><li>Implement data transformation logic following best practices for performance, reliability, and reusability</li></ul><ul><li>Support schema evolution, data validation, deduplication, and error handling in ETL workflows</li></ul>Databricks Platform Development<ul><li>Develop and optimize pipelines using Delta Lake and medallion (Bronze / Silver / Gold) architecture patterns</li></ul><ul><li>Use Databricks Workflows / Jobs or similar orchestration tools to schedule and monitor pipelines</li></ul><ul><li>Optimize Spark jobs for performance and cost (partitioning, caching, file sizing, query tuning)</li></ul><ul><li>Collaborate on data governance initiatives using Unity Catalog, access controls, and lineage where applicable</li></ul>Collaboration &amp; Operations<ul><li>Work closely with data architects, analytics teams, and downstream consumers to define data requirements</li></ul><ul><li>Troubleshoot pipeline failures and data quality issues and implement long term fixes</li></ul><ul><li>Produce documentation for pipelines, datasets, and operational runbooks</li></ul><ul><li>Participate in CI/CD practices using Git based version control for notebooks and code deployments</li></ul>Preferred Qualifications (Nice to Have):Preferred / Nice to Have<ul><li>Experience with Delta Live Tables (DLT) or Databricks Auto Loader</li></ul><ul><li>Experience with orchestration tools such as Airflow</li></ul><ul><li>Familiarity with streaming data technologies (Kafka, Event Hubs, Kinesis)</li></ul><ul><li>Experience supporting analytics tools (Power BI, Tableau, Looker) connected to Databricks</li></ul><ul><li>Databricks certification (Associate or Professional)</li></ul>Compensation:The salary is budgeted at $100,000-$120,000 annually, plus benefits. ThunderYard offers benefits including medical, dental and vision insurance, 401k matching, PTO, certification reimbursement and more.Vetting: Candidates selected will be subject to a background investigation for clearance eligibility by our government client.ThunderYard Solutions is proud to be an Equal Opportunity Employer. We don&rsquo;t just accept difference &ndash; we celebrate it, we support it, and we thrive on it for the benefit of our employees, our community, and our customers. All applicants will be considered for employment without discrimination of race, color, religion, or belief, national, social, or ethnic origin, sex, age, physical, mental, or sensory disability, HIV status, sexual orientation, gender identity and/or expression, marital, civil union, or domestic partnership status, protected veteran status, family medical history or genetic information. Pay: $100,000.00 - $120,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Flexible spending account</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Retirement plan</li><li>Tuition reimbursement</li><li>Vision insurance</li></ul>Experience:<ul><li>Azure: 3 years (Required)</li><li>Databricks: 3 years (Required)</li><li>Azure Data Factory: 3 years (Required)</li></ul>Work Location: Remote

Data Engineer- Veterans Affairs

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Data Engineer/ETL Developer

SQL Developer

Lead - Salesforce Developer

Data Engineer

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Data Engineer- Veterans Affairs

Data Engineer