Remote Senior Enterprise Data Engineer Job at Apex Systems

Senior Data Engineer

Senior Data Engineer with strong hands-on experience in Snowflake-based data env...

Location

Salary:

Not provided

Myticas Consulting

Expiration Date

Until further notice

Requirements

Senior Data Engineer with strong hands-on experience in Snowflake-based data environments
Design and build scalable data pipelines and data solutions within Snowflake
Deep expertise with Snowflake features including Snowpipe, Streams, Tasks, and Dynamic Tables
Advanced SQL development skills for data transformation, analytics, and performance tuning
Experience delivering production-grade ETL/ELT pipelines in enterprise environments
Strong focus on new development (approx. 80%) with limited production support responsibilities
Experience supporting data ingestion and orchestration workflows using platform-native tools
Proven ability to optimize Snowflake performance, including query tuning, clustering, and search optimization
Exposure to CI/CD implementation within data engineering or Snowflake environments
Experience working within cloud ecosystems (AWS preferred

Senior Site Reliability Engineer, Wikimedia Enterprise

The Wikimedia Foundation is looking for a Senior Site Reliability Engineer to jo...

Location

United States

Salary:

116633.00 - 181243.00 USD / Year

Wikimedia Foundation

Expiration Date

Until further notice

Requirements

Automation & Configuration Management: Experience with Infrastructure as Code and automation tools (e.g., Terraform, Ansible) and proficiency in at least one programming language (e.g., Python, Go, or similar)
Cloud Infrastructure: Experience designing, operating, and optimizing cloud-based systems across platforms such as AWS, Azure, or GCP, including scalability, reliability, and cost efficiency
CI/CD & Deployment Practices: Experience building and maintaining CI/CD pipelines and GitOps workflows (e.g., GitLab or similar, ArgoCD), with familiarity in progressive delivery approaches such as canary and blue-green deployments
Incident Management & Reliability Operations: Experience with incident response, on-call practices, and leading postmortems, with a focus on continuous improvement and operational excellence
SRE Principles & Observability: Strong understanding of SRE best practices, including SLOs, SLIs, and error budgets, along with experience in observability (metrics, logging, and distributed tracing e.g., Prometheus, OpenTelemetry)
Collaboration & Communication: Ability to work effectively in a distributed, cross-functional environment, with strong documentation and communication skills
Proven experience operating highly available, large-scale distributed systems, with a deep understanding of reliability, scalability, and failure modes
Ownership mindset: Takes end-to-end responsibility for system reliability, proactively identifying and addressing risks before they impact users
Bias for automation: Continuously seeks to reduce operational toil through automation and scalable solutions
Continuous improvement mindset: Actively learns from incidents and drives improvements through blameless postmortems and iterative enhancements

Job Responsibility

Define, track, and improve Service Level Objectives (SLOs), SLIs, and error budgets to ensure reliability targets are met
Build and enhance observability systems (metrics, logs, and distributed tracing) to enable proactive detection and faster troubleshooting
Drive reliability engineering practices, including capacity planning, load testing, and resilience validation (e.g., chaos testing)
Improve developer experience (DevEx) by enabling self-service infrastructure and streamlining deployment workflows
Partner with engineering team members to embed reliability best practices early in the development lifecycle
Design, implement, and optimize CI/CD and GitOps workflows using tools such as GitLab (or similar) and ArgoCD(or similar), enabling automated, reliable deployments with support for progressive delivery strategies like canary and blue-green releases
Implement secure-by-default infrastructure and enforce best practices (e.g., IAM, secrets management, encryption)
Continuously optimize infrastructure cost and efficiency using FinOps principles while maintaining performance and availability
Establish and track operational metrics such as MTTR, MTTD, and incident frequency to drive continuous improvement
Reduce operational toil by identifying repetitive work and implementing automation-first solutions

Fulltime

Senior Data Scientist

As a Senior Data Scientist, you will bridge the gap between complex datasets and...

Location

United States

Salary:

106227.00 - 167858.00 USD / Year

Wikimedia Foundation

Expiration Date

Until further notice

Requirements

Fluent in Python and Jupyter for data analysis, statistical modeling, simulation, visualization & reporting
Fluent in SQL and working with large scale data using tools such as Hive, Presto, Druid, and Spark
Experience with building dashboards & reports using tools such as Jupyter, Quarto, Superset
A solid, intuitive understanding of how websites operate (including structure, user journeys, and tracking mechanisms), combined with practical expertise in web search SEO/GEO
A Bachelor’s degree + 5 years related experience or a Master’s degree + 3 years related experience
or equivalent work experience
Excellent communication skills
You must possess the statistical nuance required to design experiments, identify statistically significant phenomena, and frame findings into clear, high-level narratives
Comfortable working in a highly collaborative, remote environment

Job Responsibility

Integrating fragmented data from our internal data lake, BigQuery, Matomo, and external intelligence tools such as Ahrefs, Semrush, and Trakkr AI among others to create a unified, granular view of how users discover and use our content across desktop and mobile domains
Translating analytics and complex trends by geography, project, and topic into actionable narratives that help leadership navigate uncertainty and prioritize high-impact interventions
Developing automated systems to detect where our content is under-indexed or missing from results, providing the data necessary to improve article coverage, alternative titles, content for the Wikimedia Foundation’s websites, and FAQ structures
Establishing the metrics and frameworks to track how our content is utilized within Large Language Models and generative search engines, directly informing high-level negotiations and the valuation of our Enterprise offerings, as well as driving grassroot donor growth
Defining Measurable Outcomes: Collaborating with product leaders to set achievable goals and drafting the instrumentation requirements necessary to track success with technical precision
Assessing the efficacy of new initiatives through the rigorous design and analysis of experiments (e.g., A/B testing) to understand their true impact on our global audience
Interpreting website performance data to uncover insights, inform UX/UI enhancements, and support strategies aimed at improving customer experience and conversion outcomes on the Wikimedia Foundation’s websites

Fulltime

Senior System Engineer

Are you an experienced, hands-on Senior System Engineer looking to take the next...

Location

Greece , Athens

Salary:

Not provided

Randstad

Expiration Date

June 29, 2026

Requirements

At least 8 years of solid, hands-on experience in Information Systems management and engineering
Degree in Information Technology, Computer Science, or a related technical field
Deep expertise in Virtualization technologies (VMware and Hyper-V) and Microsoft infrastructure ecosystems
Active Microsoft Certifications relevant to the aforementioned technologies
Solid understanding of Data Center Administration and basic Networking principles
Familiarity or working knowledge of Cloud environments (such as Azure, AWS, or OCI) will be considered a strong asset
Excellent communication skills (both written and verbal) and a strong command of the English language
A reliable team player with strong collaboration and problem-solving skills

Job Responsibility

Manage and administer complex Data Center infrastructures and core enterprise environments
Oversee and optimize Virtualization infrastructure, heavily utilizing VMware and Hyper-V solutions
Administer, upgrade, and maintain MS Windows Server environments (2016, 2019, and newer versions)
Configure and maintain Active Directory structures, alongside critical security policies and services such as DNS, SCCM, and PKI
Manage MS SQL environments, ensuring high availability through clustering and executing systematic upgrades
Implement, monitor, and manage robust backup strategies and technologies to guarantee data integrity
Oversee terminal services configurations to support efficient remote and distributed work environments
Collaborate closely with internal infrastructure and basic networking teams to ensure smooth systems integration

Fulltime

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Senior Network Engineer (Lead)

Piper Companies is seeking a Senior Network Engineer (Lead) for a large‑scale en...

Location

United States , Newton

Salary:

130000.00 - 155000.00 USD / Year

Piper Companies

Expiration Date

Until further notice

Requirements

8+ years of enterprise or service provider network engineering experience, including leadership responsibilities
Deep expertise with BGP, OSPF/IS‑IS, MPLS, Segment Routing, EVPN/VXLAN, and QoS
Hands-on experience with ACI and/or EVPN/VXLAN data center fabric technologies
Strong experience with SD‑WAN (Viptela) and hybrid cloud connectivity
Background with ISE (AAA/802.1X/SGTs), next‑gen firewalls (ASA/FTD), and remote access VPN
Proficiency with automation tools such as Python, Ansible, or Terraform
Experience with ThousandEyes or similar observability tools
Strong communication skills and the ability to mentor junior engineers
CCNP required
CCIE strongly preferred

Job Responsibility

Lead the design and optimization of enterprise L2/L3 networks across campus, data center, WAN, and cloud environments
Serve as the primary engineer for BGP, OSPF/IS‑IS, MPLS/Segment Routing, EVPN/VXLAN, QoS, and Multicast
Architect and support ACI fabrics, including tenants, VRFs, contracts, and multi‑pod/multi‑site deployments
Engineer and maintain SD‑WAN (Viptela) architecture, policies, and cloud on‑ramps
Support security platforms including ISE (802.1X/SGTs), ASA/FTD/Firepower, Umbrella, Duo, and remote access VPN
Enhance observability using telemetry, NetFlow/IPFIX, and ThousandEyes
Lead lifecycle upgrades, migrations, and major incident response efforts
Collaborate with architects, SRE teams, security engineers, and cross‑functional stakeholders
Maintain accurate network documentation including diagrams, standards, and configuration baselines
Participate in an after‑hours on‑call rotation to support network reliability

What we offer

Comprehensive benefits package including Medical, Dental, Vision, 401k, PTO, holidays, and sick leave as required by law

Fulltime

Senior Software Engineer (Agentic AI)

Radancy is the global leader in talent acquisition software, helping enterprises...

Location

Austria , Vienna

Salary:

Not provided

Radancy

Expiration Date

Until further notice

Requirements

5+ years of experience building and operating production backend systems, with hands-on exposure to AI/ML-powered applications preferred
Strong proficiency in a strongly typed language such as Scala, Java, or similar strongly preferred
Experience integrating LLM APIs, embedding models, or ML inference services into distributed systems
Experience building or consuming agent frameworks (e.g., Google ADK, LangGraph, or AutoGen) to orchestrate multi-step, tool-using AI agents in production environments
Familiarity with Model Context Protocol (MCP) or similar tool-serving standards
Practical understanding of NLP, LLM behavior, prompt design, retrieval-augmented generation (RAG), and structured output patterns
Experience deploying and scaling AI-enabled services in AWS/GCP cloud environments
Hands-on experience with containerization and orchestration (Docker, Kubernetes)
Experience designing highly concurrent, fault-tolerant systems using async processing, queues, pub/sub, or event-driven architectures
Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform or similar), and automated deployment workflows

Job Responsibility

Architect, build, and operate cloud-native backend services that power AI-driven recruiter workflows
Design and implement agentic AI systems using frameworks such as Google ADK, LangGraph, or similar, building multi-step reasoning loops, tool-use pipelines, and agent-to-agent (A2A) communication patterns for production recruiter automation
Build, deploy, and maintain MCP servers to expose backend capabilities as structured tool endpoints consumable by AI agents, ensuring schema correctness, session management, and tenant-safe execution
Design and deploy scalable AI/LLM services using containerization and orchestration technologies in cloud environments
Integrate LLM APIs, embedding services, and ML inference endpoints into distributed systems with strong API design, versioning, and fault tolerance
Implement asynchronous processing, event-driven architectures and durable state management for AI workflow orchestration
Build and maintain CI/CD pipelines to automate testing, deployment, and monitoring of AI-enabled services
Establish observability practices (metrics, tracing, logging, alerting) to monitor model performance, latency, cost, and reliability in production
Optimize inference workloads for performance, scalability, and cost efficiency, including autoscaling and concurrency management
Partner with Data Science to bring models to production, implement evaluation pipelines, and support model lifecycle management

Senior Systems Engineer (Linux/Cloud)

BAE Systems, a top-ten prime contractor to the U.S. Department of Defense, enabl...

Location

United States , Sterling

Salary:

130355.00 - 221603.00 USD / Year

Baesystems

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degrees in computer science are preferred with six (6) year’s relevant experience and education
Infrastructure as a code language
Ansible is a must have
Experience working with System Automation
Experience working with Linux
Eclipse developmental duties
Git Hub
Dev Ops
Java
Python

Job Responsibility

Deliver engineering services for network infrastructure as well as sophisticated enterprise computing infrastructure including end-point devices, data center hosted servers, multi-Cloud services as well as virtualized applications, and storage systems
Enterprise Computing Engineering services include modern application technology including containerized solutions with orchestrated workflow that function both on customer premise, and via remote Cloud services
Network infrastructure engineering services are comprised of core infrastructure, voice and video engineering, field engineering, application management and development for networks, network analytics, firewalls, network access controls and bandwidth service delivery

What we offer

Health, dental, and vision insurance
Health savings accounts
A 401(k) savings plan
Disability coverage
Life and accident insurance
Employee assistance program
Legal plan
Discounts on things like home, auto, and pet insurance
Paid time off
Paid holidays

Fulltime

Senior Systems Engineer (Linux/Cloud)

BAE Systems, a top-ten prime contractor to the U.S. Department of Defense, enabl...

Location

United States , Sterling

Salary:

130355.00 - 221603.00 USD / Year

Baesystems

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degrees in computer science are preferred with six (6) year’s relevant experience and education
Infrastructure as a code language
Ansible is a must have
Experience working with System Automation
Experience working with Linux
Eclipse developmental duties
Git Hub
Dev Ops
Java
Python

Job Responsibility

Deliver engineering services for network infrastructure as well as sophisticated enterprise computing infrastructure including end-point devices, data center hosted servers, multi-Cloud services as well as virtualized applications, and storage systems
Enterprise Computing Engineering services include modern application technology including containerized solutions with orchestrated workflow that function both on customer premise, and via remote Cloud services
Network infrastructure engineering services are comprised of core infrastructure, voice and video engineering, field engineering, application management and development for networks, network analytics, firewalls, network access controls and bandwidth service delivery

What we offer

Health, dental, and vision insurance
Health savings accounts
A 401(k) savings plan
Disability coverage
Life and accident insurance
Employee assistance program
A legal plan
Discounts on things like home, auto, and pet insurance
Paid time off
Paid holidays

Fulltime

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Remote Senior Enterprise Data Engineer

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