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Remote Data Integration Developer Jobs in Maryland

SMX

Cleared Hybrid Data Engineer (5418)

Hanover, MD · On-site +1

$103K - $171K/yr

Experience integrating structured and unstructured data sources. Knowledge of schema design, data ... Exposure to DevOps/CI-CD patterns for data workflows * MuleSoft implementation experience

CMT Services, Inc.

MuleSoft Developer

Adelphi, MD · Remote

$50.50 - $67/hr

... remote work environment. This position shall work with the Product Owner, Scrum Master, lead ... Contribute and advance the integrations strategy. * Develop foundational elements to advance the ...

CSAA

Solve performance, availability, deployment, and integration issues across AI and data ecosystems ... Identify opportunities to improve operational efficiency, governance, security, and developer ...

Cogent People Inc

Salesforce Developer

Columbia, MD · On-site +1

$54 - $71.50/hr

Location: Hybrid (Columbia, MD - 2 days onsite per week) OR Remote (as applicable to role) Work ... data integrations. In this role, you will deliver both declarative and custom-built Salesforce ...

Lifeworks

Senior Data Conversion Lead

Baltimore, MD · Remote

True work-life integration - 100% remote from anywhere in the U.S. with only occasional travel when ... Facilitate data conversion workshops and client meetings, translating technical concepts into clear ...

Index Analytics

Full Stack Engineer

Baltimore, MD · On-site +1

$99K - $140K/yr

This role includes building and maintaining data integrations, supporting cloud deployments ... Partners with Cloud Engineering, DevSecOps, and application teams to implement infrastructure as ...

Deloitte

... DevOps-/CI/CD-Ansatzen Reisebereitschaft sowie Deutsch (C1) und Englisch sehr gut in Wort und ... B. Vertrauensarbeitszeit und EU Remote Working Vielfaltige Gestaltungsspielraume und aktive ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high ... Location: Remote (East Coast strongly preferred to optimize collaboration with HQ and cross ...

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Remote Data Integration Developer information

What is a remote data integration developer?

A Remote Data Integration Developer is an IT professional who specializes in designing, building, and maintaining systems that combine data from different sources, working entirely from a remote location. They use tools and programming languages to create automated data pipelines, ensure data quality, and enable seamless data flow across platforms. Their role is crucial for organizations needing accurate, up-to-date data for analysis and decision-making. Remote Data Integration Developers often collaborate with data engineers, analysts, and stakeholders, using cloud-based tools to facilitate their work.

What are the key skills and qualifications needed to thrive as a remote data integration developer?

To thrive as a Remote Data Integration Developer, you need a strong background in database management, ETL processes, and programming languages like SQL, Python, or Java, often supported by a degree in computer science or related fields. Familiarity with data integration platforms (e.g., Informatica, Talend, MuleSoft), cloud services (AWS, Azure), and relevant certifications are typically required. Excellent problem-solving skills, attention to detail, and effective remote communication are crucial soft skills for collaborating across distributed teams. These skills and qualifications ensure the seamless, secure, and efficient transfer of data across systems, which is vital for organizational decision-making and operations.

What are some common challenges remote data integration developers face when collaborating with distributed teams?

Remote Data Integration Developers often work with teams spread across different time zones and departments, which can present challenges in communication and project coordination. Ensuring data consistency and managing integration schedules require clear documentation and regular virtual meetings to stay aligned. Additionally, troubleshooting integration issues remotely may involve navigating various system environments without direct on-site access. Proactive communication and the use of collaborative tools help overcome these obstacles and support successful project delivery.

What is the difference between Remote Data Integration Developer vs Data Engineer?

AspectRemote Data Integration DeveloperData Engineer
Required CredentialsTypically requires SQL, ETL tools, and data integration certificationsRequires SQL, programming languages (Python, Java), and sometimes cloud certifications
Work EnvironmentPrimarily remote, focused on data pipelines and integration tasksOften remote or on-site, involved in building and maintaining data infrastructure
Employer & Industry UsageUsed in tech, finance, healthcare for data flow managementCommon in tech, finance, and large enterprises for data architecture

The Remote Data Integration Developer focuses on designing and implementing data pipelines and integrating data from various sources, often working with ETL tools. Data Engineers build and maintain the overall data infrastructure, including data warehouses and pipelines, requiring broader programming skills. Both roles are essential in data management but differ in scope and technical depth.

What cities in Maryland are hiring for Remote Data Integration Developer jobs?

Cities in Maryland with the most Remote Data Integration Developer job openings:

Remote Data Integration Developer jobs near you

Cleared Hybrid Data Engineer (5418)

Hanover, MD • On-site, Remote

SMX
IT Services • 1 - 5K employees
Learn more about SMXexternal

$103K - $171K/yr

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago

Job description

SMX is hiring a Data Engineer responsible for designing, building, and maintaining scalable data architecture that powers our AI, analytics and reporting. Collaborate closely with Analysts, AI Engineers, and Software Engineers to transform raw, unstructured data into high-quality, accessible data pipelines. Optimizing data systems, building them from the ground up, and ensuring peak data reliability and performance. This role is essential for making data accessible, reliable, and usable across the enterprise.
Essential Duties and Responsibilities
  • Design, construct, install, test, and maintain highly scalable data management systems and robust ELT/ETL pipelines across cloud and on-prem systems.
  • Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud technologies. Support API strategy, data modeling, and domain-driven data structures.
  • Implement monitoring systems to ensure data integrity, quality, and security across all storage and processing layers. Implement data quality checks, validation, lineage tracking, and metadata management.
  • Prepare and optimize data for AI/ML models, semantic search, analytics, and mission applications.
  • Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery for greater scalability. Automate ingestion and transformation processes using industry-standard tools and patterns. Troubleshoot pipeline issues and optimize for performance and cost.
  • Work with analytics and business teams to understand their data requirements and deliver production-ready datasets. Collaborate with AI engineers and analysts to ensure datasets meet requirements.

Required Skills & Experience
  • Bachelor's degree in Computer Science, Information Technology, Data Engineering
  • 4+ years of progressive professional experience in a data engineering or backend software engineering role
  • Security clearance required (Secret or higher)
  • Strong proficiency in Python, SQL, Java.
  • Experience with cloud data warehouses such as Snowflake and AWS Redshift.
  • Familiarity with distributed computing tools like Spark, Databricks, and Kafka.
  • Experience with Azure Data Factory, AWS Glue, or similar data integration platforms.
  • Experience with workflow management tools like Apache Airflow.
  • Hands-on experience with AWS, GCP, or Azure cloud environments. Familiarity with multi-cloud data ecosystem patterns.
  • Experience integrating structured and unstructured data sources. Knowledge of schema design, data modeling, and cloud-based storage patterns.

Desired Skills & Experience
  • Experience supporting AI/ML pipelines, vectorization, or embedding generation
  • Experience with data governance, access controls, or sensitive data protection
  • Exposure to DevOps/CI-CD patterns for data workflows
  • MuleSoft implementation experience
  • Experience with real-time data streaming and event-driven architectures

The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is:
$103,000-$171,800 USD
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
SMX logo

About SMX

Sourced by ZipRecruiter

Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Hollywood, MD, US

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