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Senior Data Integration Developer Jobs in Elbert, CO

Senior Data Engineer

Englewood, CO ยท On-site

$135K - $165K/yr

... data integration processes that power critical operational and analytical systems. The ideal ... Familiarity with CI/CD pipelines, DevOps practices, data governance frameworks, and compliance ...

Senior Data Scientist

Aurora, CO ยท On-site

$115K - $190K/yr

Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". * We ... and the integration of industry standard software stacks. GliaCell's Enterprise capabilities ...

Razor is looking for a Java/C++ Developer focused on developing mission-critical applications ... data integration, analytics, visualization, and decision support for national defense missions.

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Senior Data Integration Developer information

See Elbert, CO salary details

$38

$53

$62

How much do senior data integration developer jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for senior data integration developer in Elbert, CO is $53.45, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $59.42 per hour, depending on experience, location, and employer.

What is a senior data integration developer?

Senior Data Integration Developers are experienced IT professionals who design, develop, and maintain data integration solutions across multiple systems and platforms. They are responsible for ensuring that data from various sources is accurately collected, transformed, and loaded (ETL) to support business intelligence, analytics, and operational needs. In addition to technical expertise in data integration tools and programming, they often lead projects, mentor junior developers, and collaborate with stakeholders to optimize data workflows. Their work is critical for enabling organizations to leverage data for informed decision-making.

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

To thrive as a Senior Data Integration Developer, you need strong expertise in data modeling, ETL processes, SQL, and a solid understanding of database architectures, typically backed by a degree in computer science or a related field. Familiarity with integration tools such as Informatica, Talend, Microsoft SSIS, and relevant certifications are highly valuable. Exceptional problem-solving, communication, and project management skills set top performers apart in this role. These skills ensure efficient, reliable data flow across systems, supporting organizational decision-making and operational effectiveness.

What are some common challenges senior data integration developers face when working on large-scale projects?

Senior Data Integration Developers often encounter challenges related to managing complex data sources, ensuring data quality, and maintaining system performance as data volumes grow. Coordinating across multiple teams, such as database administrators, data architects, and business analysts, requires excellent communication and project management skills. Additionally, adapting to evolving technology stacks and integrating new tools can add complexity, making it essential to stay updated on industry best practices. Overcoming these challenges is key to delivering reliable, scalable integration solutions.

What cities near Elbert, CO are hiring for Senior Data Integration Developer jobs?

Cities near Elbert, CO with the most Senior Data Integration Developer job openings:

Senior Elastic Stack Data Integration Engineer

LaunchTech

Colorado Springs, CO โ€ข On-site

$117K - $155K/yr

Full-time

Re-posted 22 days ago


Job description

Job Summary:
LaunchTech is seeking a Senior Elastic Stack Data Integration Engineer to support the Missile Defense Agency on the Integrated Research and Development for Enterprise Solutions contract. The role involves designing, building, and maintaining data ingestion pipelines for Elastic SIEM, focusing on architecting scalable Logstash ingestion frameworks and ensuring reliable delivery of high-fidelity data into Elasticsearch for mission-critical cyber operations.
Responsibilities:
โ€ข Architect, build, and maintain Logstash pipelines to ingest and transform logs from diverse systems including network devices, servers, cloud services, and security platforms
โ€ข Implement advanced parsing, grok patterns, JSON transformations, conditional routing, enrichment logic, and ECS mapping
โ€ข Optimize pipeline performance, resiliency, and scalability through persistent queues, pipeline workers, memory tuning, and load balancing
โ€ข Ensure ingested data aligns with Elastic Common Schema (ECS) or internal schema standards
โ€ข Implement enrichment workflows including GeoIP enrichment, threat intelligence lookups, and metadata injection
โ€ข Validate data completeness, integrity, and fidelity across ingestion pipelines
โ€ข Maintain and optimize Logstash clusters including version management, scaling, tuning, and high-availability configurations
โ€ข Manage integrations with Beats, Elastic Agent, Kafka, syslog endpoints, and custom data collectors
โ€ข Monitor ingestion throughput, latency, and error rates while implementing proactive alerting and troubleshooting processes
โ€ข Create and maintain documentation including pipeline diagrams, data flow maps, runbooks, and schema references
โ€ข Establish enterprise standards for parsing, enrichment, normalization, and ingestion patterns
โ€ข Support internal and external audits by documenting data handling flows and pipeline logic
โ€ข Work closely with SIEM integration engineers to align ingestion pipelines with customer environments and logging requirements
โ€ข Partner with detection engineering teams to ensure telemetry supports analytic coverage and detection rule development
โ€ข Collaborate with infrastructure and platform operations teams to support deployment, scaling, and reliability engineering efforts
โ€ข Mentor junior engineers and support technical leadership across pipeline architecture decisions
Qualifications:
Required:
โ€ข Must have 10 or more years of general (full-time) work experience
โ€ข Experience requirement may be reduced with completion of advanced education
โ€ข Must have 5 or more years of experience in log ingestion, data engineering, or SIEM pipeline development
โ€ข Must have 2 or more years of experience in a lead or senior role mentoring and guiding technical teams
โ€ข Must have strong experience with Elastic Stack components including Elasticsearch, Kibana, Beats, and Elastic Agent
โ€ข Must have experience with data ingestion, transformation, and enrichment techniques
โ€ข Must have hands-on experience ingesting and normalizing diverse log types including Windows events, syslog, firewall logs, cloud telemetry, and security tooling
โ€ข Must be proficient with Linux administration, system debugging, and command-line operations
โ€ข Must possess a DoD 8570.01-M IAT Level II certification with CE (Security+ CE, CySA+, GSEC, SSCP, CND, CCNA-Security, or equivalent)
โ€ข Must have an active DoD Secret Security Clearance
โ€ข Must be able to obtain a DoD Top Secret Security Clearance
Preferred:
โ€ข Elastic Certified Engineer or relevant Elastic Stack certifications
โ€ข Experience integrating Kafka, Redis, or other message bus technologies into ingestion pipelines
โ€ข Proficiency in scripting languages such as Python, Bash, or PowerShell for automation and data validation
โ€ข Experience designing geo-distributed or multi-cluster ingestion architectures
โ€ข Knowledge of threat intelligence ingestion, correlation enrichment, and advanced ECS mapping
โ€ข Experience with CI/CD pipelines, GitOps workflows, or Infrastructure-as-Code tools such as Terraform or Ansible
โ€ข Familiarity with data quality assurance frameworks and pipeline testing methodologies
โ€ข Knowledge of cloud-native logging architectures such as AWS Firehose, Azure Event Hub, or Google Cloud Logging
Company:
Information Assurance and Cybersecurity, IT Modernization and Support Founded in 2016, the company is headquartered in Huntsville, USA, with a team of 11-50 employees. The company is currently Early Stage.